opencv_ximgproc (JavaCPP Presets for OpenCV 4.3.0-1.5.3 API)

java.lang.Object
- org.bytedeco.opencv.presets.opencv_ximgproc
- - org.bytedeco.opencv.global.opencv_ximgproc

All Implemented Interfaces:: InfoMapper

public class opencv_ximgproc
extends opencv_ximgproc

Field Summary

Fields
Modifier and Type	Field and Description
`static int`	`AM_FILTER` enum cv::ximgproc::EdgeAwareFiltersList
`static int`	`ARO_0_45` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_315_0` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_315_135` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_315_45` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_45_135` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_45_90` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_90_135` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_CTR_HOR` enum cv::ximgproc::AngleRangeOption
`static int`	`ARO_CTR_VER` enum cv::ximgproc::AngleRangeOption
`static int`	`BINARIZATION_NIBLACK` enum cv::ximgproc::LocalBinarizationMethods
`static int`	`BINARIZATION_NICK` enum cv::ximgproc::LocalBinarizationMethods
`static int`	`BINARIZATION_SAUVOLA` enum cv::ximgproc::LocalBinarizationMethods
`static int`	`BINARIZATION_WOLF` enum cv::ximgproc::LocalBinarizationMethods
`static int`	`DTF_IC` enum cv::ximgproc::EdgeAwareFiltersList
`static int`	`DTF_NC` enum cv::ximgproc::EdgeAwareFiltersList
`static int`	`DTF_RF` enum cv::ximgproc::EdgeAwareFiltersList
`static int`	`FHT_ADD` enum cv::ximgproc::HoughOp
`static int`	`FHT_AVE` enum cv::ximgproc::HoughOp
`static int`	`FHT_MAX` enum cv::ximgproc::HoughOp
`static int`	`FHT_MIN` enum cv::ximgproc::HoughOp
`static int`	`GUIDED_FILTER` enum cv::ximgproc::EdgeAwareFiltersList
`static int`	`HDO_DESKEW` enum cv::ximgproc::HoughDeskewOption
`static int`	`HDO_RAW` enum cv::ximgproc::HoughDeskewOption
`static int`	`MSLIC` enum cv::ximgproc::SLICType
`static int`	`RO_IGNORE_BORDERS` enum cv::ximgproc::RulesOption
`static int`	`RO_STRICT` enum cv::ximgproc::RulesOption
`static int`	`SLIC` enum cv::ximgproc::SLICType
`static int`	`SLICO` enum cv::ximgproc::SLICType
`static int`	`THINNING_GUOHALL` enum cv::ximgproc::ThinningTypes
`static int`	`THINNING_ZHANGSUEN` enum cv::ximgproc::ThinningTypes

Constructor Summary

Constructors
Constructor and Description

opencv_ximgproc()

Constructors
Constructor and Description
`opencv_ximgproc()`

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static void`	`amFilter(GpuMat joint, GpuMat src, GpuMat dst, double sigma_s, double sigma_r)`
`static void`	`amFilter(GpuMat joint, GpuMat src, GpuMat dst, double sigma_s, double sigma_r, boolean adjust_outliers)`
`static void`	`amFilter(Mat joint, Mat src, Mat dst, double sigma_s, double sigma_r)`
`static void`	`amFilter(Mat joint, Mat src, Mat dst, double sigma_s, double sigma_r, boolean adjust_outliers)` \brief Simple one-line Adaptive Manifold Filter call.
`static void`	`amFilter(UMat joint, UMat src, UMat dst, double sigma_s, double sigma_r)`
`static void`	`amFilter(UMat joint, UMat src, UMat dst, double sigma_s, double sigma_r, boolean adjust_outliers)`
`static void`	`anisotropicDiffusion(GpuMat src, GpuMat dst, float alpha, float K, int niters)`
`static void`	`anisotropicDiffusion(Mat src, Mat dst, float alpha, float K, int niters)` \brief Performs anisotropic diffusian on an image.
`static void`	`anisotropicDiffusion(UMat src, UMat dst, float alpha, float K, int niters)`
`static void`	`bilateralTextureFilter(GpuMat src, GpuMat dst)`
`static void`	`bilateralTextureFilter(GpuMat src, GpuMat dst, int fr, int numIter, double sigmaAlpha, double sigmaAvg)`
`static void`	`bilateralTextureFilter(Mat src, Mat dst)`
`static void`	`bilateralTextureFilter(Mat src, Mat dst, int fr, int numIter, double sigmaAlpha, double sigmaAvg)` \brief Applies the bilateral texture filter to an image.
`static void`	`bilateralTextureFilter(UMat src, UMat dst)`
`static void`	`bilateralTextureFilter(UMat src, UMat dst, int fr, int numIter, double sigmaAlpha, double sigmaAvg)`
`static double`	`computeBadPixelPercent(GpuMat GT, GpuMat src, Rect ROI)`
`static double`	`computeBadPixelPercent(GpuMat GT, GpuMat src, Rect ROI, int thresh)`
`static double`	`computeBadPixelPercent(Mat GT, Mat src, Rect ROI)`
`static double`	`computeBadPixelPercent(Mat GT, Mat src, Rect ROI, int thresh)` \brief Function for computing the percent of "bad" pixels in the disparity map (pixels where error is higher than a specified threshold)
`static double`	`computeBadPixelPercent(UMat GT, UMat src, Rect ROI)`
`static double`	`computeBadPixelPercent(UMat GT, UMat src, Rect ROI, int thresh)`
`static double`	`computeMSE(GpuMat GT, GpuMat src, Rect ROI)`
`static double`	`computeMSE(Mat GT, Mat src, Rect ROI)` \brief Function for computing mean square error for disparity maps
`static double`	`computeMSE(UMat GT, UMat src, Rect ROI)`
`static void`	`covarianceEstimation(GpuMat src, GpuMat dst, int windowRows, int windowCols)`
`static void`	`covarianceEstimation(Mat src, Mat dst, int windowRows, int windowCols)` \brief Computes the estimated covariance matrix of an image using the sliding window forumlation.
`static void`	`covarianceEstimation(UMat src, UMat dst, int windowRows, int windowCols)`
`static AdaptiveManifoldFilter`	`createAMFilter(double sigma_s, double sigma_r)`
`static AdaptiveManifoldFilter`	`createAMFilter(double sigma_s, double sigma_r, boolean adjust_outliers)` \brief Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines.
`static DisparityWLSFilter`	`createDisparityWLSFilter(StereoMatcher matcher_left)` \brief Convenience factory method that creates an instance of DisparityWLSFilter and sets up all the relevant filter parameters automatically based on the matcher instance.
`static DisparityWLSFilter`	`createDisparityWLSFilterGeneric(boolean use_confidence)` \brief More generic factory method, create instance of DisparityWLSFilter and execute basic initialization routines.
`static DTFilter`	`createDTFilter(GpuMat guide, double sigmaSpatial, double sigmaColor)`
`static DTFilter`	`createDTFilter(GpuMat guide, double sigmaSpatial, double sigmaColor, int mode, int numIters)`
`static DTFilter`	`createDTFilter(Mat guide, double sigmaSpatial, double sigmaColor)`
`static DTFilter`	`createDTFilter(Mat guide, double sigmaSpatial, double sigmaColor, int mode, int numIters)` \brief Factory method, create instance of DTFilter and produce initialization routines.
`static DTFilter`	`createDTFilter(UMat guide, double sigmaSpatial, double sigmaColor)`
`static DTFilter`	`createDTFilter(UMat guide, double sigmaSpatial, double sigmaColor, int mode, int numIters)`
`static EdgeAwareInterpolator`	`createEdgeAwareInterpolator()` \brief Factory method that creates an instance of the EdgeAwareInterpolator.
`static FastBilateralSolverFilter`	`createFastBilateralSolverFilter(GpuMat guide, double sigma_spatial, double sigma_luma, double sigma_chroma)`
`static FastBilateralSolverFilter`	`createFastBilateralSolverFilter(GpuMat guide, double sigma_spatial, double sigma_luma, double sigma_chroma, double lambda, int num_iter, double max_tol)`
`static FastBilateralSolverFilter`	`createFastBilateralSolverFilter(Mat guide, double sigma_spatial, double sigma_luma, double sigma_chroma)`
`static FastBilateralSolverFilter`	`createFastBilateralSolverFilter(Mat guide, double sigma_spatial, double sigma_luma, double sigma_chroma, double lambda, int num_iter, double max_tol)` \brief Factory method, create instance of FastBilateralSolverFilter and execute the initialization routines.
`static FastBilateralSolverFilter`	`createFastBilateralSolverFilter(UMat guide, double sigma_spatial, double sigma_luma, double sigma_chroma)`
`static FastBilateralSolverFilter`	`createFastBilateralSolverFilter(UMat guide, double sigma_spatial, double sigma_luma, double sigma_chroma, double lambda, int num_iter, double max_tol)`
`static FastGlobalSmootherFilter`	`createFastGlobalSmootherFilter(GpuMat guide, double lambda, double sigma_color)`
`static FastGlobalSmootherFilter`	`createFastGlobalSmootherFilter(GpuMat guide, double lambda, double sigma_color, double lambda_attenuation, int num_iter)`
`static FastGlobalSmootherFilter`	`createFastGlobalSmootherFilter(Mat guide, double lambda, double sigma_color)`
`static FastGlobalSmootherFilter`	`createFastGlobalSmootherFilter(Mat guide, double lambda, double sigma_color, double lambda_attenuation, int num_iter)` \brief Factory method, create instance of FastGlobalSmootherFilter and execute the initialization routines.
`static FastGlobalSmootherFilter`	`createFastGlobalSmootherFilter(UMat guide, double lambda, double sigma_color)`
`static FastGlobalSmootherFilter`	`createFastGlobalSmootherFilter(UMat guide, double lambda, double sigma_color, double lambda_attenuation, int num_iter)`
`static GraphSegmentation`	`createGraphSegmentation()`
`static GraphSegmentation`	`createGraphSegmentation(double sigma, float k, int min_size)` \brief Creates a graph based segmentor
`static GuidedFilter`	`createGuidedFilter(GpuMat guide, int radius, double eps)`
`static GuidedFilter`	`createGuidedFilter(Mat guide, int radius, double eps)` \brief Factory method, create instance of GuidedFilter and produce initialization routines.
`static GuidedFilter`	`createGuidedFilter(UMat guide, int radius, double eps)`
`static RFFeatureGetter`	`createRFFeatureGetter()` \file \date Jun 17, 2014
`static RICInterpolator`	`createRICInterpolator()` \brief Factory method that creates an instance of the RICInterpolator.
`static StereoMatcher`	`createRightMatcher(StereoMatcher matcher_left)` \brief Convenience method to set up the matcher for computing the right-view disparity map that is required in case of filtering with confidence.
`static SelectiveSearchSegmentation`	`createSelectiveSearchSegmentation()` \brief Create a new SelectiveSearchSegmentation class.
`static SelectiveSearchSegmentationStrategyColor`	`createSelectiveSearchSegmentationStrategyColor()` \brief Create a new color-based strategy
`static SelectiveSearchSegmentationStrategyFill`	`createSelectiveSearchSegmentationStrategyFill()` \brief Create a new fill-based strategy
`static SelectiveSearchSegmentationStrategyMultiple`	`createSelectiveSearchSegmentationStrategyMultiple()` \brief Create a new multiple strategy
`static SelectiveSearchSegmentationStrategyMultiple`	`createSelectiveSearchSegmentationStrategyMultiple(SelectiveSearchSegmentationStrategy s1)` \brief Create a new multiple strategy and set one subtrategy
`static SelectiveSearchSegmentationStrategyMultiple`	`createSelectiveSearchSegmentationStrategyMultiple(SelectiveSearchSegmentationStrategy s1, SelectiveSearchSegmentationStrategy s2)` \brief Create a new multiple strategy and set two subtrategies, with equal weights
`static SelectiveSearchSegmentationStrategyMultiple`	`createSelectiveSearchSegmentationStrategyMultiple(SelectiveSearchSegmentationStrategy s1, SelectiveSearchSegmentationStrategy s2, SelectiveSearchSegmentationStrategy s3)` \brief Create a new multiple strategy and set three subtrategies, with equal weights
`static SelectiveSearchSegmentationStrategyMultiple`	`createSelectiveSearchSegmentationStrategyMultiple(SelectiveSearchSegmentationStrategy s1, SelectiveSearchSegmentationStrategy s2, SelectiveSearchSegmentationStrategy s3, SelectiveSearchSegmentationStrategy s4)` \brief Create a new multiple strategy and set four subtrategies, with equal weights
`static SelectiveSearchSegmentationStrategySize`	`createSelectiveSearchSegmentationStrategySize()` \brief Create a new size-based strategy
`static SelectiveSearchSegmentationStrategyTexture`	`createSelectiveSearchSegmentationStrategyTexture()` \brief Create a new size-based strategy
`static StructuredEdgeDetection`	`createStructuredEdgeDetection(BytePointer model)`
`static StructuredEdgeDetection`	`createStructuredEdgeDetection(BytePointer model, RFFeatureGetter howToGetFeatures)` The only constructor
`static StructuredEdgeDetection`	`createStructuredEdgeDetection(String model)`
`static StructuredEdgeDetection`	`createStructuredEdgeDetection(String model, RFFeatureGetter howToGetFeatures)`
`static SuperpixelLSC`	`createSuperpixelLSC(GpuMat image)`
`static SuperpixelLSC`	`createSuperpixelLSC(GpuMat image, int region_size, float ratio)`
`static SuperpixelLSC`	`createSuperpixelLSC(Mat image)`
`static SuperpixelLSC`	`createSuperpixelLSC(Mat image, int region_size, float ratio)` \brief Class implementing the LSC (Linear Spectral Clustering) superpixels
`static SuperpixelLSC`	`createSuperpixelLSC(UMat image)`
`static SuperpixelLSC`	`createSuperpixelLSC(UMat image, int region_size, float ratio)`
`static SuperpixelSEEDS`	`createSuperpixelSEEDS(int image_width, int image_height, int image_channels, int num_superpixels, int num_levels)`
`static SuperpixelSEEDS`	`createSuperpixelSEEDS(int image_width, int image_height, int image_channels, int num_superpixels, int num_levels, int prior, int histogram_bins, boolean double_step)` \brief Initializes a SuperpixelSEEDS object.
`static SuperpixelSLIC`	`createSuperpixelSLIC(GpuMat image)`
`static SuperpixelSLIC`	`createSuperpixelSLIC(GpuMat image, int algorithm, int region_size, float ruler)`
`static SuperpixelSLIC`	`createSuperpixelSLIC(Mat image)`
`static SuperpixelSLIC`	`createSuperpixelSLIC(Mat image, int algorithm, int region_size, float ruler)` \brief Initialize a SuperpixelSLIC object
`static SuperpixelSLIC`	`createSuperpixelSLIC(UMat image)`
`static SuperpixelSLIC`	`createSuperpixelSLIC(UMat image, int algorithm, int region_size, float ruler)`
`static void`	`dtFilter(GpuMat guide, GpuMat src, GpuMat dst, double sigmaSpatial, double sigmaColor)`
`static void`	`dtFilter(GpuMat guide, GpuMat src, GpuMat dst, double sigmaSpatial, double sigmaColor, int mode, int numIters)`
`static void`	`dtFilter(Mat guide, Mat src, Mat dst, double sigmaSpatial, double sigmaColor)`
`static void`	`dtFilter(Mat guide, Mat src, Mat dst, double sigmaSpatial, double sigmaColor, int mode, int numIters)` \brief Simple one-line Domain Transform filter call.
`static void`	`dtFilter(UMat guide, UMat src, UMat dst, double sigmaSpatial, double sigmaColor)`
`static void`	`dtFilter(UMat guide, UMat src, UMat dst, double sigmaSpatial, double sigmaColor, int mode, int numIters)`
`static void`	`fastBilateralSolverFilter(GpuMat guide, GpuMat src, GpuMat confidence, GpuMat dst)`
`static void`	`fastBilateralSolverFilter(GpuMat guide, GpuMat src, GpuMat confidence, GpuMat dst, double sigma_spatial, double sigma_luma, double sigma_chroma, double lambda, int num_iter, double max_tol)`
`static void`	`fastBilateralSolverFilter(Mat guide, Mat src, Mat confidence, Mat dst)`
`static void`	`fastBilateralSolverFilter(Mat guide, Mat src, Mat confidence, Mat dst, double sigma_spatial, double sigma_luma, double sigma_chroma, double lambda, int num_iter, double max_tol)` \brief Simple one-line Fast Bilateral Solver filter call.
`static void`	`fastBilateralSolverFilter(UMat guide, UMat src, UMat confidence, UMat dst)`
`static void`	`fastBilateralSolverFilter(UMat guide, UMat src, UMat confidence, UMat dst, double sigma_spatial, double sigma_luma, double sigma_chroma, double lambda, int num_iter, double max_tol)`
`static void`	`fastGlobalSmootherFilter(GpuMat guide, GpuMat src, GpuMat dst, double lambda, double sigma_color)`
`static void`	`fastGlobalSmootherFilter(GpuMat guide, GpuMat src, GpuMat dst, double lambda, double sigma_color, double lambda_attenuation, int num_iter)`
`static void`	`fastGlobalSmootherFilter(Mat guide, Mat src, Mat dst, double lambda, double sigma_color)`
`static void`	`fastGlobalSmootherFilter(Mat guide, Mat src, Mat dst, double lambda, double sigma_color, double lambda_attenuation, int num_iter)` \brief Simple one-line Fast Global Smoother filter call.
`static void`	`fastGlobalSmootherFilter(UMat guide, UMat src, UMat dst, double lambda, double sigma_color)`
`static void`	`fastGlobalSmootherFilter(UMat guide, UMat src, UMat dst, double lambda, double sigma_color, double lambda_attenuation, int num_iter)`
`static void`	`FastHoughTransform(GpuMat src, GpuMat dst, int dstMatDepth)`
`static void`	`FastHoughTransform(GpuMat src, GpuMat dst, int dstMatDepth, int angleRange, int op, int makeSkew)`
`static void`	`FastHoughTransform(Mat src, Mat dst, int dstMatDepth)`
`static void`	`FastHoughTransform(Mat src, Mat dst, int dstMatDepth, int angleRange, int op, int makeSkew)` \brief Calculates 2D Fast Hough transform of an image.
`static void`	`FastHoughTransform(UMat src, UMat dst, int dstMatDepth)`
`static void`	`FastHoughTransform(UMat src, UMat dst, int dstMatDepth, int angleRange, int op, int makeSkew)`
`static void`	`getDisparityVis(GpuMat src, GpuMat dst)`
`static void`	`getDisparityVis(GpuMat src, GpuMat dst, double scale)`
`static void`	`getDisparityVis(Mat src, Mat dst)`
`static void`	`getDisparityVis(Mat src, Mat dst, double scale)` \brief Function for creating a disparity map visualization (clamped CV_8U image)
`static void`	`getDisparityVis(UMat src, UMat dst)`
`static void`	`getDisparityVis(UMat src, UMat dst, double scale)`
`static void`	`guidedFilter(GpuMat guide, GpuMat src, GpuMat dst, int radius, double eps)`
`static void`	`guidedFilter(GpuMat guide, GpuMat src, GpuMat dst, int radius, double eps, int dDepth)`
`static void`	`guidedFilter(Mat guide, Mat src, Mat dst, int radius, double eps)`
`static void`	`guidedFilter(Mat guide, Mat src, Mat dst, int radius, double eps, int dDepth)` \brief Simple one-line Guided Filter call.
`static void`	`guidedFilter(UMat guide, UMat src, UMat dst, int radius, double eps)`
`static void`	`guidedFilter(UMat guide, UMat src, UMat dst, int radius, double eps, int dDepth)`
`static Scalar4i`	`HoughPoint2Line(Point houghPoint, GpuMat srcImgInfo)`
`static Scalar4i`	`HoughPoint2Line(Point houghPoint, GpuMat srcImgInfo, int angleRange, int makeSkew, int rules)`
`static Scalar4i`	`HoughPoint2Line(Point houghPoint, Mat srcImgInfo)`
`static Scalar4i`	`HoughPoint2Line(Point houghPoint, Mat srcImgInfo, int angleRange, int makeSkew, int rules)` \brief Calculates coordinates of line segment corresponded by point in Hough space.
`static Scalar4i`	`HoughPoint2Line(Point houghPoint, UMat srcImgInfo)`
`static Scalar4i`	`HoughPoint2Line(Point houghPoint, UMat srcImgInfo, int angleRange, int makeSkew, int rules)`
`static void`	`jointBilateralFilter(GpuMat joint, GpuMat src, GpuMat dst, int d, double sigmaColor, double sigmaSpace)`
`static void`	`jointBilateralFilter(GpuMat joint, GpuMat src, GpuMat dst, int d, double sigmaColor, double sigmaSpace, int borderType)`
`static void`	`jointBilateralFilter(Mat joint, Mat src, Mat dst, int d, double sigmaColor, double sigmaSpace)`
`static void`	`jointBilateralFilter(Mat joint, Mat src, Mat dst, int d, double sigmaColor, double sigmaSpace, int borderType)` \brief Applies the joint bilateral filter to an image.
`static void`	`jointBilateralFilter(UMat joint, UMat src, UMat dst, int d, double sigmaColor, double sigmaSpace)`
`static void`	`jointBilateralFilter(UMat joint, UMat src, UMat dst, int d, double sigmaColor, double sigmaSpace, int borderType)`
`static void`	`l0Smooth(GpuMat src, GpuMat dst)`
`static void`	`l0Smooth(GpuMat src, GpuMat dst, double lambda, double kappa)`
`static void`	`l0Smooth(Mat src, Mat dst)`
`static void`	`l0Smooth(Mat src, Mat dst, double lambda, double kappa)` \brief Global image smoothing via L0 gradient minimization.
`static void`	`l0Smooth(UMat src, UMat dst)`
`static void`	`l0Smooth(UMat src, UMat dst, double lambda, double kappa)`
`static void`	`niBlackThreshold(GpuMat _src, GpuMat _dst, double maxValue, int type, int blockSize, double k)`
`static void`	`niBlackThreshold(GpuMat _src, GpuMat _dst, double maxValue, int type, int blockSize, double k, int binarizationMethod)`
`static void`	`niBlackThreshold(Mat _src, Mat _dst, double maxValue, int type, int blockSize, double k)`
`static void`	`niBlackThreshold(Mat _src, Mat _dst, double maxValue, int type, int blockSize, double k, int binarizationMethod)` \addtogroup ximgproc \{
`static void`	`niBlackThreshold(UMat _src, UMat _dst, double maxValue, int type, int blockSize, double k)`
`static void`	`niBlackThreshold(UMat _src, UMat _dst, double maxValue, int type, int blockSize, double k, int binarizationMethod)`
`static int`	`readGT(BytePointer src_path, GpuMat dst)`
`static int`	`readGT(BytePointer src_path, Mat dst)` \brief Function for reading ground truth disparity maps.
`static int`	`readGT(BytePointer src_path, UMat dst)`
`static int`	`readGT(String src_path, GpuMat dst)`
`static int`	`readGT(String src_path, Mat dst)`
`static int`	`readGT(String src_path, UMat dst)`
`static void`	`rollingGuidanceFilter(GpuMat src, GpuMat dst)`
`static void`	`rollingGuidanceFilter(GpuMat src, GpuMat dst, int d, double sigmaColor, double sigmaSpace, int numOfIter, int borderType)`
`static void`	`rollingGuidanceFilter(Mat src, Mat dst)`
`static void`	`rollingGuidanceFilter(Mat src, Mat dst, int d, double sigmaColor, double sigmaSpace, int numOfIter, int borderType)` \brief Applies the rolling guidance filter to an image.
`static void`	`rollingGuidanceFilter(UMat src, UMat dst)`
`static void`	`rollingGuidanceFilter(UMat src, UMat dst, int d, double sigmaColor, double sigmaSpace, int numOfIter, int borderType)`
`static void`	`thinning(GpuMat src, GpuMat dst)`
`static void`	`thinning(GpuMat src, GpuMat dst, int thinningType)`
`static void`	`thinning(Mat src, Mat dst)`
`static void`	`thinning(Mat src, Mat dst, int thinningType)` \brief Applies a binary blob thinning operation, to achieve a skeletization of the input image.
`static void`	`thinning(UMat src, UMat dst)`
`static void`	`thinning(UMat src, UMat dst, int thinningType)`

Methods inherited from class org.bytedeco.opencv.presets.opencv_ximgproc
map

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail
- THINNING_ZHANGSUEN
```
public static final int THINNING_ZHANGSUEN
```
  enum cv::ximgproc::ThinningTypes
  
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  Constant Field Values
- THINNING_GUOHALL
```
public static final int THINNING_GUOHALL
```
  enum cv::ximgproc::ThinningTypes
  
  See Also:
  
  Constant Field Values
- BINARIZATION_NIBLACK
```
public static final int BINARIZATION_NIBLACK
```
  enum cv::ximgproc::LocalBinarizationMethods
  
  See Also:
  
  Constant Field Values
- BINARIZATION_SAUVOLA
```
public static final int BINARIZATION_SAUVOLA
```
  enum cv::ximgproc::LocalBinarizationMethods
  
  See Also:
  
  Constant Field Values
- BINARIZATION_WOLF
```
public static final int BINARIZATION_WOLF
```
  enum cv::ximgproc::LocalBinarizationMethods
  
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  Constant Field Values
- BINARIZATION_NICK
```
public static final int BINARIZATION_NICK
```
  enum cv::ximgproc::LocalBinarizationMethods
  
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  Constant Field Values
- DTF_NC
```
public static final int DTF_NC
```
  enum cv::ximgproc::EdgeAwareFiltersList
  
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  Constant Field Values
- DTF_IC
```
public static final int DTF_IC
```
  enum cv::ximgproc::EdgeAwareFiltersList
  
  See Also:
  
  Constant Field Values
- DTF_RF
```
public static final int DTF_RF
```
  enum cv::ximgproc::EdgeAwareFiltersList
  
  See Also:
  
  Constant Field Values
- GUIDED_FILTER
```
public static final int GUIDED_FILTER
```
  enum cv::ximgproc::EdgeAwareFiltersList
  
  See Also:
  
  Constant Field Values
- AM_FILTER
```
public static final int AM_FILTER
```
  enum cv::ximgproc::EdgeAwareFiltersList
  
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  Constant Field Values
- ARO_0_45
```
public static final int ARO_0_45
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_45_90
```
public static final int ARO_45_90
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_90_135
```
public static final int ARO_90_135
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_315_0
```
public static final int ARO_315_0
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_315_45
```
public static final int ARO_315_45
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_45_135
```
public static final int ARO_45_135
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_315_135
```
public static final int ARO_315_135
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_CTR_HOR
```
public static final int ARO_CTR_HOR
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- ARO_CTR_VER
```
public static final int ARO_CTR_VER
```
  enum cv::ximgproc::AngleRangeOption
  
  See Also:
  
  Constant Field Values
- FHT_MIN
```
public static final int FHT_MIN
```
  enum cv::ximgproc::HoughOp
  
  See Also:
  
  Constant Field Values
- FHT_MAX
```
public static final int FHT_MAX
```
  enum cv::ximgproc::HoughOp
  
  See Also:
  
  Constant Field Values
- FHT_ADD
```
public static final int FHT_ADD
```
  enum cv::ximgproc::HoughOp
  
  See Also:
  
  Constant Field Values
- FHT_AVE
```
public static final int FHT_AVE
```
  enum cv::ximgproc::HoughOp
  
  See Also:
  
  Constant Field Values
- HDO_RAW
```
public static final int HDO_RAW
```
  enum cv::ximgproc::HoughDeskewOption
  
  See Also:
  
  Constant Field Values
- HDO_DESKEW
```
public static final int HDO_DESKEW
```
  enum cv::ximgproc::HoughDeskewOption
  
  See Also:
  
  Constant Field Values
- RO_STRICT
```
public static final int RO_STRICT
```
  enum cv::ximgproc::RulesOption
  
  See Also:
  
  Constant Field Values
- RO_IGNORE_BORDERS
```
public static final int RO_IGNORE_BORDERS
```
  enum cv::ximgproc::RulesOption
  
  See Also:
  
  Constant Field Values
- SLIC
```
public static final int SLIC
```
  enum cv::ximgproc::SLICType
  
  See Also:
  
  Constant Field Values
- SLICO
```
public static final int SLICO
```
  enum cv::ximgproc::SLICType
  
  See Also:
  
  Constant Field Values
- MSLIC
```
public static final int MSLIC
```
  enum cv::ximgproc::SLICType
  
  See Also:
  
  Constant Field Values

Constructor Detail
- opencv_ximgproc
```
public opencv_ximgproc()
```

Method Detail

niBlackThreshold
```
@Namespace(value="cv::ximgproc")
public static void niBlackThreshold(@ByVal
                                                                     Mat _src,
                                                                     @ByVal
                                                                     Mat _dst,
                                                                     double maxValue,
                                                                     int type,
                                                                     int blockSize,
                                                                     double k,
                                                                     int binarizationMethod)
```
\addtogroup ximgproc \{
/** \brief Performs thresholding on input images using Niblack's technique or some of the popular variations it inspired.
The function transforms a grayscale image to a binary image according to the formulae: - **THRESH_BINARY**
```
 \[dst(x,y) =  \fork{\texttt{maxValue}}{if \(src(x,y) > T(x,y)\)}{0}{otherwise}\]
```
- **THRESH_BINARY_INV**
```
 \[dst(x,y) =  \fork{0}{if \(src(x,y) > T(x,y)\)}{\texttt{maxValue}}{otherwise}\]
```
where T(x,y) is a threshold calculated individually for each pixel.
The threshold value T(x, y) is determined based on the binarization method chosen. For classic Niblack, it is the mean minus k times standard deviation of \texttt{blockSize} \times\texttt{blockSize} neighborhood of (x, y).
The function can't process the image in-place.
Parameters:

_src - Source 8-bit single-channel image.

_dst - Destination image of the same size and the same type as src.

maxValue - Non-zero value assigned to the pixels for which the condition is satisfied, used with the THRESH_BINARY and THRESH_BINARY_INV thresholding types.

type - Thresholding type, see cv::ThresholdTypes.

blockSize - Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on.

k - The user-adjustable parameter used by Niblack and inspired techniques. For Niblack, this is normally a value between 0 and 1 that is multiplied with the standard deviation and subtracted from the mean.

binarizationMethod - Binarization method to use. By default, Niblack's technique is used. Other techniques can be specified, see cv::ximgproc::LocalBinarizationMethods.

See Also:

threshold, adaptiveThreshold

niBlackThreshold

@Namespace(value="cv::ximgproc")
public static void niBlackThreshold(@ByVal
                                                                     Mat _src,
                                                                     @ByVal
                                                                     Mat _dst,
                                                                     double maxValue,
                                                                     int type,
                                                                     int blockSize,
                                                                     double k)

niBlackThreshold

@Namespace(value="cv::ximgproc")
public static void niBlackThreshold(@ByVal
                                                                     UMat _src,
                                                                     @ByVal
                                                                     UMat _dst,
                                                                     double maxValue,
                                                                     int type,
                                                                     int blockSize,
                                                                     double k,
                                                                     int binarizationMethod)

niBlackThreshold

@Namespace(value="cv::ximgproc")
public static void niBlackThreshold(@ByVal
                                                                     UMat _src,
                                                                     @ByVal
                                                                     UMat _dst,
                                                                     double maxValue,
                                                                     int type,
                                                                     int blockSize,
                                                                     double k)

niBlackThreshold

@Namespace(value="cv::ximgproc")
public static void niBlackThreshold(@ByVal
                                                                     GpuMat _src,
                                                                     @ByVal
                                                                     GpuMat _dst,
                                                                     double maxValue,
                                                                     int type,
                                                                     int blockSize,
                                                                     double k,
                                                                     int binarizationMethod)

niBlackThreshold

@Namespace(value="cv::ximgproc")
public static void niBlackThreshold(@ByVal
                                                                     GpuMat _src,
                                                                     @ByVal
                                                                     GpuMat _dst,
                                                                     double maxValue,
                                                                     int type,
                                                                     int blockSize,
                                                                     double k)

thinning

@Namespace(value="cv::ximgproc")
public static void thinning(@ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst,
                                                             int thinningType)

\brief Applies a binary blob thinning operation, to achieve a skeletization of the input image.

The function transforms a binary blob image into a skeletized form using the technique of Zhang-Suen.

Parameters:: src - Source 8-bit single-channel image, containing binary blobs, with blobs having 255 pixel values.; dst - Destination image of the same size and the same type as src. The function can work in-place.; thinningType - Value that defines which thinning algorithm should be used. See cv::ximgproc::ThinningTypes

thinning

@Namespace(value="cv::ximgproc")
public static void thinning(@ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst)

thinning

@Namespace(value="cv::ximgproc")
public static void thinning(@ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst,
                                                             int thinningType)

thinning

@Namespace(value="cv::ximgproc")
public static void thinning(@ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst)

thinning

@Namespace(value="cv::ximgproc")
public static void thinning(@ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst,
                                                             int thinningType)

thinning

@Namespace(value="cv::ximgproc")
public static void thinning(@ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst)

anisotropicDiffusion

@Namespace(value="cv::ximgproc")
public static void anisotropicDiffusion(@ByVal
                                                                         Mat src,
                                                                         @ByVal
                                                                         Mat dst,
                                                                         float alpha,
                                                                         float K,
                                                                         int niters)

\brief Performs anisotropic diffusian on an image.

The function applies Perona-Malik anisotropic diffusion to an image. This is the solution to the partial differential equation:

 \[{\frac  {\partial I}{\partial t}}={\mathrm  {div}}\left(c(x,y,t)\nabla I\right)=\nabla c\cdot \nabla I+c(x,y,t)\Delta I\]

Suggested functions for c(x,y,t) are:

 \[c\left(\|\nabla I\|\right)=e^{{-\left(\|\nabla I\|/K\right)^{2}}}\]

 \[ c\left(\|\nabla I\|\right)={\frac {1}{1+\left({\frac  {\|\nabla I\|}{K}}\right)^{2}}} \]

Parameters:: src - Source image with 3 channels.; dst - Destination image of the same size and the same number of channels as src .; alpha - The amount of time to step forward by on each iteration (normally, it's between 0 and 1).; K - sensitivity to the edges; niters - The number of iterations

anisotropicDiffusion

@Namespace(value="cv::ximgproc")
public static void anisotropicDiffusion(@ByVal
                                                                         UMat src,
                                                                         @ByVal
                                                                         UMat dst,
                                                                         float alpha,
                                                                         float K,
                                                                         int niters)

anisotropicDiffusion

@Namespace(value="cv::ximgproc")
public static void anisotropicDiffusion(@ByVal
                                                                         GpuMat src,
                                                                         @ByVal
                                                                         GpuMat dst,
                                                                         float alpha,
                                                                         float K,
                                                                         int niters)

createDTFilter
```
@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DTFilter createDTFilter(@ByVal
                                                                                         Mat guide,
                                                                                         double sigmaSpatial,
                                                                                         double sigmaColor,
                                                                                         int mode,
                                                                                         int numIters)
```
\brief Factory method, create instance of DTFilter and produce initialization routines.

Parameters:

guide - guided image (used to build transformed distance, which describes edge structure of guided image).

sigmaSpatial - {\sigma}_H parameter in the original article, it's similar to the sigma in the coordinate space into bilateralFilter.

sigmaColor - {\sigma}_r parameter in the original article, it's similar to the sigma in the color space into bilateralFilter.

mode - one form three modes DTF_NC, DTF_RF and DTF_IC which corresponds to three modes for filtering 2D signals in the article.

numIters - optional number of iterations used for filtering, 3 is quite enough.
For more details about Domain Transform filter parameters, see the original article \cite Gastal11 and [Domain Transform filter homepage](http://www.inf.ufrgs.br/~eslgastal/DomainTransform/).

createDTFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DTFilter createDTFilter(@ByVal
                                                                                         Mat guide,
                                                                                         double sigmaSpatial,
                                                                                         double sigmaColor)

createDTFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DTFilter createDTFilter(@ByVal
                                                                                         UMat guide,
                                                                                         double sigmaSpatial,
                                                                                         double sigmaColor,
                                                                                         int mode,
                                                                                         int numIters)

createDTFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DTFilter createDTFilter(@ByVal
                                                                                         UMat guide,
                                                                                         double sigmaSpatial,
                                                                                         double sigmaColor)

createDTFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DTFilter createDTFilter(@ByVal
                                                                                         GpuMat guide,
                                                                                         double sigmaSpatial,
                                                                                         double sigmaColor,
                                                                                         int mode,
                                                                                         int numIters)

createDTFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DTFilter createDTFilter(@ByVal
                                                                                         GpuMat guide,
                                                                                         double sigmaSpatial,
                                                                                         double sigmaColor)

dtFilter

@Namespace(value="cv::ximgproc")
public static void dtFilter(@ByVal
                                                             Mat guide,
                                                             @ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst,
                                                             double sigmaSpatial,
                                                             double sigmaColor,
                                                             int mode,
                                                             int numIters)

\brief Simple one-line Domain Transform filter call. If you have multiple images to filter with the same guided image then use DTFilter interface to avoid extra computations on initialization stage.

Parameters:: guide - guided image (also called as joint image) with unsigned 8-bit or floating-point 32-bit depth and up to 4 channels.; src - filtering image with unsigned 8-bit or floating-point 32-bit depth and up to 4 channels.; dst - destination image; sigmaSpatial - {\sigma}_H parameter in the original article, it's similar to the sigma in the coordinate space into bilateralFilter.; sigmaColor - {\sigma}_r parameter in the original article, it's similar to the sigma in the color space into bilateralFilter.; mode - one form three modes DTF_NC, DTF_RF and DTF_IC which corresponds to three modes for filtering 2D signals in the article.; numIters - optional number of iterations used for filtering, 3 is quite enough.
See Also:: bilateralFilter, guidedFilter, amFilter

dtFilter

@Namespace(value="cv::ximgproc")
public static void dtFilter(@ByVal
                                                             Mat guide,
                                                             @ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst,
                                                             double sigmaSpatial,
                                                             double sigmaColor)

dtFilter

@Namespace(value="cv::ximgproc")
public static void dtFilter(@ByVal
                                                             UMat guide,
                                                             @ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst,
                                                             double sigmaSpatial,
                                                             double sigmaColor,
                                                             int mode,
                                                             int numIters)

dtFilter

@Namespace(value="cv::ximgproc")
public static void dtFilter(@ByVal
                                                             UMat guide,
                                                             @ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst,
                                                             double sigmaSpatial,
                                                             double sigmaColor)

dtFilter

@Namespace(value="cv::ximgproc")
public static void dtFilter(@ByVal
                                                             GpuMat guide,
                                                             @ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst,
                                                             double sigmaSpatial,
                                                             double sigmaColor,
                                                             int mode,
                                                             int numIters)

dtFilter

@Namespace(value="cv::ximgproc")
public static void dtFilter(@ByVal
                                                             GpuMat guide,
                                                             @ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst,
                                                             double sigmaSpatial,
                                                             double sigmaColor)

createGuidedFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static GuidedFilter createGuidedFilter(@ByVal
                                                                                                 Mat guide,
                                                                                                 int radius,
                                                                                                 double eps)

\brief Factory method, create instance of GuidedFilter and produce initialization routines.

Parameters:: guide - guided image (or array of images) with up to 3 channels, if it have more then 3 channels then only first 3 channels will be used.; radius - radius of Guided Filter.; eps - regularization term of Guided Filter. {eps}^2 is similar to the sigma in the color space into bilateralFilter.
For more details about Guided Filter parameters, see the original article \cite Kaiming10 .

createGuidedFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static GuidedFilter createGuidedFilter(@ByVal
                                                                                                 UMat guide,
                                                                                                 int radius,
                                                                                                 double eps)

createGuidedFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static GuidedFilter createGuidedFilter(@ByVal
                                                                                                 GpuMat guide,
                                                                                                 int radius,
                                                                                                 double eps)

guidedFilter

@Namespace(value="cv::ximgproc")
public static void guidedFilter(@ByVal
                                                                 Mat guide,
                                                                 @ByVal
                                                                 Mat src,
                                                                 @ByVal
                                                                 Mat dst,
                                                                 int radius,
                                                                 double eps,
                                                                 int dDepth)

\brief Simple one-line Guided Filter call.

If you have multiple images to filter with the same guided image then use GuidedFilter interface to avoid extra computations on initialization stage.

Parameters:: guide - guided image (or array of images) with up to 3 channels, if it have more then 3 channels then only first 3 channels will be used.; src - filtering image with any numbers of channels.; dst - output image.; radius - radius of Guided Filter.; eps - regularization term of Guided Filter. {eps}^2 is similar to the sigma in the color space into bilateralFilter.; dDepth - optional depth of the output image.
See Also:: bilateralFilter, dtFilter, amFilter

guidedFilter

@Namespace(value="cv::ximgproc")
public static void guidedFilter(@ByVal
                                                                 Mat guide,
                                                                 @ByVal
                                                                 Mat src,
                                                                 @ByVal
                                                                 Mat dst,
                                                                 int radius,
                                                                 double eps)

guidedFilter

@Namespace(value="cv::ximgproc")
public static void guidedFilter(@ByVal
                                                                 UMat guide,
                                                                 @ByVal
                                                                 UMat src,
                                                                 @ByVal
                                                                 UMat dst,
                                                                 int radius,
                                                                 double eps,
                                                                 int dDepth)

guidedFilter

@Namespace(value="cv::ximgproc")
public static void guidedFilter(@ByVal
                                                                 UMat guide,
                                                                 @ByVal
                                                                 UMat src,
                                                                 @ByVal
                                                                 UMat dst,
                                                                 int radius,
                                                                 double eps)

guidedFilter

@Namespace(value="cv::ximgproc")
public static void guidedFilter(@ByVal
                                                                 GpuMat guide,
                                                                 @ByVal
                                                                 GpuMat src,
                                                                 @ByVal
                                                                 GpuMat dst,
                                                                 int radius,
                                                                 double eps,
                                                                 int dDepth)

guidedFilter

@Namespace(value="cv::ximgproc")
public static void guidedFilter(@ByVal
                                                                 GpuMat guide,
                                                                 @ByVal
                                                                 GpuMat src,
                                                                 @ByVal
                                                                 GpuMat dst,
                                                                 int radius,
                                                                 double eps)

createAMFilter
```
@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static AdaptiveManifoldFilter createAMFilter(double sigma_s,
                                                                                                       double sigma_r,
                                                                                                       @Cast(value="bool")
                                                                                                       boolean adjust_outliers)
```
\brief Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines.

Parameters:

sigma_s - spatial standard deviation.

sigma_r - color space standard deviation, it is similar to the sigma in the color space into bilateralFilter.

adjust_outliers - optional, specify perform outliers adjust operation or not, (Eq. 9) in the original paper.
For more details about Adaptive Manifold Filter parameters, see the original article \cite Gastal12 .
\note Joint images with CV_8U and CV_16U depth converted to images with CV_32F depth and [0; 1] color range before processing. Hence color space sigma sigma_r must be in [0; 1] range, unlike same sigmas in bilateralFilter and dtFilter functions.

createAMFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static AdaptiveManifoldFilter createAMFilter(double sigma_s,
                                                                                                       double sigma_r)

amFilter

@Namespace(value="cv::ximgproc")
public static void amFilter(@ByVal
                                                             Mat joint,
                                                             @ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst,
                                                             double sigma_s,
                                                             double sigma_r,
                                                             @Cast(value="bool")
                                                             boolean adjust_outliers)

\brief Simple one-line Adaptive Manifold Filter call.

Parameters:: joint - joint (also called as guided) image or array of images with any numbers of channels.; src - filtering image with any numbers of channels.; dst - output image.; sigma_s - spatial standard deviation.; sigma_r - color space standard deviation, it is similar to the sigma in the color space into bilateralFilter.; adjust_outliers - optional, specify perform outliers adjust operation or not, (Eq. 9) in the original paper.
\note Joint images with CV_8U and CV_16U depth converted to images with CV_32F depth and [0; 1] color range before processing. Hence color space sigma sigma_r must be in [0; 1] range, unlike same sigmas in bilateralFilter and dtFilter functions. @see bilateralFilter, dtFilter, guidedFilter

amFilter

@Namespace(value="cv::ximgproc")
public static void amFilter(@ByVal
                                                             Mat joint,
                                                             @ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst,
                                                             double sigma_s,
                                                             double sigma_r)

amFilter

@Namespace(value="cv::ximgproc")
public static void amFilter(@ByVal
                                                             UMat joint,
                                                             @ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst,
                                                             double sigma_s,
                                                             double sigma_r,
                                                             @Cast(value="bool")
                                                             boolean adjust_outliers)

amFilter

@Namespace(value="cv::ximgproc")
public static void amFilter(@ByVal
                                                             UMat joint,
                                                             @ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst,
                                                             double sigma_s,
                                                             double sigma_r)

amFilter

@Namespace(value="cv::ximgproc")
public static void amFilter(@ByVal
                                                             GpuMat joint,
                                                             @ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst,
                                                             double sigma_s,
                                                             double sigma_r,
                                                             @Cast(value="bool")
                                                             boolean adjust_outliers)

amFilter

@Namespace(value="cv::ximgproc")
public static void amFilter(@ByVal
                                                             GpuMat joint,
                                                             @ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst,
                                                             double sigma_s,
                                                             double sigma_r)

jointBilateralFilter

@Namespace(value="cv::ximgproc")
public static void jointBilateralFilter(@ByVal
                                                                         Mat joint,
                                                                         @ByVal
                                                                         Mat src,
                                                                         @ByVal
                                                                         Mat dst,
                                                                         int d,
                                                                         double sigmaColor,
                                                                         double sigmaSpace,
                                                                         int borderType)

\brief Applies the joint bilateral filter to an image.

Parameters:

joint - Joint 8-bit or floating-point, 1-channel or 3-channel image.

src - Source 8-bit or floating-point, 1-channel or 3-channel image with the same depth as joint image.

dst - Destination image of the same size and type as src .

d - Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from sigmaSpace .

sigmaColor - Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see sigmaSpace ) will be mixed together, resulting in larger areas of semi-equal color.

sigmaSpace - Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor ). When d\>0 , it specifies the neighborhood size regardless of sigmaSpace . Otherwise, d is proportional to sigmaSpace .

borderType -

\note bilateralFilter and jointBilateralFilter use L1 norm to compute difference between colors.

See Also:

bilateralFilter, amFilter

jointBilateralFilter

@Namespace(value="cv::ximgproc")
public static void jointBilateralFilter(@ByVal
                                                                         Mat joint,
                                                                         @ByVal
                                                                         Mat src,
                                                                         @ByVal
                                                                         Mat dst,
                                                                         int d,
                                                                         double sigmaColor,
                                                                         double sigmaSpace)

jointBilateralFilter

@Namespace(value="cv::ximgproc")
public static void jointBilateralFilter(@ByVal
                                                                         UMat joint,
                                                                         @ByVal
                                                                         UMat src,
                                                                         @ByVal
                                                                         UMat dst,
                                                                         int d,
                                                                         double sigmaColor,
                                                                         double sigmaSpace,
                                                                         int borderType)

jointBilateralFilter

@Namespace(value="cv::ximgproc")
public static void jointBilateralFilter(@ByVal
                                                                         UMat joint,
                                                                         @ByVal
                                                                         UMat src,
                                                                         @ByVal
                                                                         UMat dst,
                                                                         int d,
                                                                         double sigmaColor,
                                                                         double sigmaSpace)

jointBilateralFilter

@Namespace(value="cv::ximgproc")
public static void jointBilateralFilter(@ByVal
                                                                         GpuMat joint,
                                                                         @ByVal
                                                                         GpuMat src,
                                                                         @ByVal
                                                                         GpuMat dst,
                                                                         int d,
                                                                         double sigmaColor,
                                                                         double sigmaSpace,
                                                                         int borderType)

jointBilateralFilter

@Namespace(value="cv::ximgproc")
public static void jointBilateralFilter(@ByVal
                                                                         GpuMat joint,
                                                                         @ByVal
                                                                         GpuMat src,
                                                                         @ByVal
                                                                         GpuMat dst,
                                                                         int d,
                                                                         double sigmaColor,
                                                                         double sigmaSpace)

bilateralTextureFilter

@Namespace(value="cv::ximgproc")
public static void bilateralTextureFilter(@ByVal
                                                                           Mat src,
                                                                           @ByVal
                                                                           Mat dst,
                                                                           int fr,
                                                                           int numIter,
                                                                           double sigmaAlpha,
                                                                           double sigmaAvg)

\brief Applies the bilateral texture filter to an image. It performs structure-preserving texture filter. For more details about this filter see \cite Cho2014.

Parameters:: src - Source image whose depth is 8-bit UINT or 32-bit FLOAT; dst - Destination image of the same size and type as src.; fr - Radius of kernel to be used for filtering. It should be positive integer; numIter - Number of iterations of algorithm, It should be positive integer; sigmaAlpha - Controls the sharpness of the weight transition from edges to smooth/texture regions, where a bigger value means sharper transition. When the value is negative, it is automatically calculated.; sigmaAvg - Range blur parameter for texture blurring. Larger value makes result to be more blurred. When the value is negative, it is automatically calculated as described in the paper.
See Also:: rollingGuidanceFilter, bilateralFilter

bilateralTextureFilter

@Namespace(value="cv::ximgproc")
public static void bilateralTextureFilter(@ByVal
                                                                           Mat src,
                                                                           @ByVal
                                                                           Mat dst)

bilateralTextureFilter

@Namespace(value="cv::ximgproc")
public static void bilateralTextureFilter(@ByVal
                                                                           UMat src,
                                                                           @ByVal
                                                                           UMat dst,
                                                                           int fr,
                                                                           int numIter,
                                                                           double sigmaAlpha,
                                                                           double sigmaAvg)

bilateralTextureFilter

@Namespace(value="cv::ximgproc")
public static void bilateralTextureFilter(@ByVal
                                                                           UMat src,
                                                                           @ByVal
                                                                           UMat dst)

bilateralTextureFilter

@Namespace(value="cv::ximgproc")
public static void bilateralTextureFilter(@ByVal
                                                                           GpuMat src,
                                                                           @ByVal
                                                                           GpuMat dst,
                                                                           int fr,
                                                                           int numIter,
                                                                           double sigmaAlpha,
                                                                           double sigmaAvg)

bilateralTextureFilter

@Namespace(value="cv::ximgproc")
public static void bilateralTextureFilter(@ByVal
                                                                           GpuMat src,
                                                                           @ByVal
                                                                           GpuMat dst)

rollingGuidanceFilter
```
@Namespace(value="cv::ximgproc")
public static void rollingGuidanceFilter(@ByVal
                                                                          Mat src,
                                                                          @ByVal
                                                                          Mat dst,
                                                                          int d,
                                                                          double sigmaColor,
                                                                          double sigmaSpace,
                                                                          int numOfIter,
                                                                          int borderType)
```
\brief Applies the rolling guidance filter to an image.
For more details, please see \cite zhang2014rolling

Parameters:

src - Source 8-bit or floating-point, 1-channel or 3-channel image.

dst - Destination image of the same size and type as src.

d - Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from sigmaSpace .

sigmaColor - Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see sigmaSpace ) will be mixed together, resulting in larger areas of semi-equal color.

sigmaSpace - Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor ). When d\>0 , it specifies the neighborhood size regardless of sigmaSpace . Otherwise, d is proportional to sigmaSpace .

numOfIter - Number of iterations of joint edge-preserving filtering applied on the source image.

borderType -
\note rollingGuidanceFilter uses jointBilateralFilter as the edge-preserving filter.

See Also:

jointBilateralFilter, bilateralFilter, amFilter

rollingGuidanceFilter

@Namespace(value="cv::ximgproc")
public static void rollingGuidanceFilter(@ByVal
                                                                          Mat src,
                                                                          @ByVal
                                                                          Mat dst)

rollingGuidanceFilter

@Namespace(value="cv::ximgproc")
public static void rollingGuidanceFilter(@ByVal
                                                                          UMat src,
                                                                          @ByVal
                                                                          UMat dst,
                                                                          int d,
                                                                          double sigmaColor,
                                                                          double sigmaSpace,
                                                                          int numOfIter,
                                                                          int borderType)

rollingGuidanceFilter

@Namespace(value="cv::ximgproc")
public static void rollingGuidanceFilter(@ByVal
                                                                          UMat src,
                                                                          @ByVal
                                                                          UMat dst)

rollingGuidanceFilter

@Namespace(value="cv::ximgproc")
public static void rollingGuidanceFilter(@ByVal
                                                                          GpuMat src,
                                                                          @ByVal
                                                                          GpuMat dst,
                                                                          int d,
                                                                          double sigmaColor,
                                                                          double sigmaSpace,
                                                                          int numOfIter,
                                                                          int borderType)

rollingGuidanceFilter

@Namespace(value="cv::ximgproc")
public static void rollingGuidanceFilter(@ByVal
                                                                          GpuMat src,
                                                                          @ByVal
                                                                          GpuMat dst)

createFastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastBilateralSolverFilter createFastBilateralSolverFilter(@ByVal
                                                                                                                           Mat guide,
                                                                                                                           double sigma_spatial,
                                                                                                                           double sigma_luma,
                                                                                                                           double sigma_chroma,
                                                                                                                           double lambda,
                                                                                                                           int num_iter,
                                                                                                                           double max_tol)

\brief Factory method, create instance of FastBilateralSolverFilter and execute the initialization routines.

Parameters:

guide - image serving as guide for filtering. It should have 8-bit depth and either 1 or 3 channels.

sigma_spatial - parameter, that is similar to spatial space sigma (bandwidth) in bilateralFilter.

sigma_luma - parameter, that is similar to luma space sigma (bandwidth) in bilateralFilter.

sigma_chroma - parameter, that is similar to chroma space sigma (bandwidth) in bilateralFilter.

lambda - smoothness strength parameter for solver.

num_iter - number of iterations used for solver, 25 is usually enough.

max_tol - convergence tolerance used for solver.

For more details about the Fast Bilateral Solver parameters, see the original paper \cite BarronPoole2016.

createFastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastBilateralSolverFilter createFastBilateralSolverFilter(@ByVal
                                                                                                                           Mat guide,
                                                                                                                           double sigma_spatial,
                                                                                                                           double sigma_luma,
                                                                                                                           double sigma_chroma)

createFastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastBilateralSolverFilter createFastBilateralSolverFilter(@ByVal
                                                                                                                           UMat guide,
                                                                                                                           double sigma_spatial,
                                                                                                                           double sigma_luma,
                                                                                                                           double sigma_chroma,
                                                                                                                           double lambda,
                                                                                                                           int num_iter,
                                                                                                                           double max_tol)

createFastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastBilateralSolverFilter createFastBilateralSolverFilter(@ByVal
                                                                                                                           UMat guide,
                                                                                                                           double sigma_spatial,
                                                                                                                           double sigma_luma,
                                                                                                                           double sigma_chroma)

createFastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastBilateralSolverFilter createFastBilateralSolverFilter(@ByVal
                                                                                                                           GpuMat guide,
                                                                                                                           double sigma_spatial,
                                                                                                                           double sigma_luma,
                                                                                                                           double sigma_chroma,
                                                                                                                           double lambda,
                                                                                                                           int num_iter,
                                                                                                                           double max_tol)

createFastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastBilateralSolverFilter createFastBilateralSolverFilter(@ByVal
                                                                                                                           GpuMat guide,
                                                                                                                           double sigma_spatial,
                                                                                                                           double sigma_luma,
                                                                                                                           double sigma_chroma)

fastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
public static void fastBilateralSolverFilter(@ByVal
                                                                              Mat guide,
                                                                              @ByVal
                                                                              Mat src,
                                                                              @ByVal
                                                                              Mat confidence,
                                                                              @ByVal
                                                                              Mat dst,
                                                                              double sigma_spatial,
                                                                              double sigma_luma,
                                                                              double sigma_chroma,
                                                                              double lambda,
                                                                              int num_iter,
                                                                              double max_tol)

\brief Simple one-line Fast Bilateral Solver filter call. If you have multiple images to filter with the same guide then use FastBilateralSolverFilter interface to avoid extra computations.

Parameters:

guide - image serving as guide for filtering. It should have 8-bit depth and either 1 or 3 channels.

src - source image for filtering with unsigned 8-bit or signed 16-bit or floating-point 32-bit depth and up to 4 channels.

confidence - confidence image with unsigned 8-bit or floating-point 32-bit confidence and 1 channel.

dst - destination image.

sigma_spatial - parameter, that is similar to spatial space sigma (bandwidth) in bilateralFilter.

sigma_luma - parameter, that is similar to luma space sigma (bandwidth) in bilateralFilter.

sigma_chroma - parameter, that is similar to chroma space sigma (bandwidth) in bilateralFilter.

lambda - smoothness strength parameter for solver.

num_iter - number of iterations used for solver, 25 is usually enough.

max_tol - convergence tolerance used for solver.

For more details about the Fast Bilateral Solver parameters, see the original paper \cite BarronPoole2016.

\note Confidence images with CV_8U depth are expected to in [0, 255] and CV_32F in [0, 1] range.

fastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
public static void fastBilateralSolverFilter(@ByVal
                                                                              Mat guide,
                                                                              @ByVal
                                                                              Mat src,
                                                                              @ByVal
                                                                              Mat confidence,
                                                                              @ByVal
                                                                              Mat dst)

fastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
public static void fastBilateralSolverFilter(@ByVal
                                                                              UMat guide,
                                                                              @ByVal
                                                                              UMat src,
                                                                              @ByVal
                                                                              UMat confidence,
                                                                              @ByVal
                                                                              UMat dst,
                                                                              double sigma_spatial,
                                                                              double sigma_luma,
                                                                              double sigma_chroma,
                                                                              double lambda,
                                                                              int num_iter,
                                                                              double max_tol)

fastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
public static void fastBilateralSolverFilter(@ByVal
                                                                              UMat guide,
                                                                              @ByVal
                                                                              UMat src,
                                                                              @ByVal
                                                                              UMat confidence,
                                                                              @ByVal
                                                                              UMat dst)

fastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
public static void fastBilateralSolverFilter(@ByVal
                                                                              GpuMat guide,
                                                                              @ByVal
                                                                              GpuMat src,
                                                                              @ByVal
                                                                              GpuMat confidence,
                                                                              @ByVal
                                                                              GpuMat dst,
                                                                              double sigma_spatial,
                                                                              double sigma_luma,
                                                                              double sigma_chroma,
                                                                              double lambda,
                                                                              int num_iter,
                                                                              double max_tol)

fastBilateralSolverFilter

@Namespace(value="cv::ximgproc")
public static void fastBilateralSolverFilter(@ByVal
                                                                              GpuMat guide,
                                                                              @ByVal
                                                                              GpuMat src,
                                                                              @ByVal
                                                                              GpuMat confidence,
                                                                              @ByVal
                                                                              GpuMat dst)

createFastGlobalSmootherFilter
```
@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastGlobalSmootherFilter createFastGlobalSmootherFilter(@ByVal
                                                                                                                         Mat guide,
                                                                                                                         double lambda,
                                                                                                                         double sigma_color,
                                                                                                                         double lambda_attenuation,
                                                                                                                         int num_iter)
```
\brief Factory method, create instance of FastGlobalSmootherFilter and execute the initialization routines.

Parameters:

guide - image serving as guide for filtering. It should have 8-bit depth and either 1 or 3 channels.

lambda - parameter defining the amount of regularization

sigma_color - parameter, that is similar to color space sigma in bilateralFilter.

lambda_attenuation - internal parameter, defining how much lambda decreases after each iteration. Normally, it should be 0.25. Setting it to 1.0 may lead to streaking artifacts.

num_iter - number of iterations used for filtering, 3 is usually enough.
For more details about Fast Global Smoother parameters, see the original paper \cite Min2014. However, please note that there are several differences. Lambda attenuation described in the paper is implemented a bit differently so do not expect the results to be identical to those from the paper; sigma_color values from the paper should be multiplied by 255.0 to achieve the same effect. Also, in case of image filtering where source and guide image are the same, authors propose to dynamically update the guide image after each iteration. To maximize the performance this feature was not implemented here.

createFastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastGlobalSmootherFilter createFastGlobalSmootherFilter(@ByVal
                                                                                                                         Mat guide,
                                                                                                                         double lambda,
                                                                                                                         double sigma_color)

createFastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastGlobalSmootherFilter createFastGlobalSmootherFilter(@ByVal
                                                                                                                         UMat guide,
                                                                                                                         double lambda,
                                                                                                                         double sigma_color,
                                                                                                                         double lambda_attenuation,
                                                                                                                         int num_iter)

createFastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastGlobalSmootherFilter createFastGlobalSmootherFilter(@ByVal
                                                                                                                         UMat guide,
                                                                                                                         double lambda,
                                                                                                                         double sigma_color)

createFastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastGlobalSmootherFilter createFastGlobalSmootherFilter(@ByVal
                                                                                                                         GpuMat guide,
                                                                                                                         double lambda,
                                                                                                                         double sigma_color,
                                                                                                                         double lambda_attenuation,
                                                                                                                         int num_iter)

createFastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static FastGlobalSmootherFilter createFastGlobalSmootherFilter(@ByVal
                                                                                                                         GpuMat guide,
                                                                                                                         double lambda,
                                                                                                                         double sigma_color)

fastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
public static void fastGlobalSmootherFilter(@ByVal
                                                                             Mat guide,
                                                                             @ByVal
                                                                             Mat src,
                                                                             @ByVal
                                                                             Mat dst,
                                                                             double lambda,
                                                                             double sigma_color,
                                                                             double lambda_attenuation,
                                                                             int num_iter)

\brief Simple one-line Fast Global Smoother filter call. If you have multiple images to filter with the same guide then use FastGlobalSmootherFilter interface to avoid extra computations.

Parameters:: guide - image serving as guide for filtering. It should have 8-bit depth and either 1 or 3 channels.; src - source image for filtering with unsigned 8-bit or signed 16-bit or floating-point 32-bit depth and up to 4 channels.; dst - destination image.; lambda - parameter defining the amount of regularization; sigma_color - parameter, that is similar to color space sigma in bilateralFilter.; lambda_attenuation - internal parameter, defining how much lambda decreases after each iteration. Normally, it should be 0.25. Setting it to 1.0 may lead to streaking artifacts.; num_iter - number of iterations used for filtering, 3 is usually enough.

fastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
public static void fastGlobalSmootherFilter(@ByVal
                                                                             Mat guide,
                                                                             @ByVal
                                                                             Mat src,
                                                                             @ByVal
                                                                             Mat dst,
                                                                             double lambda,
                                                                             double sigma_color)

fastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
public static void fastGlobalSmootherFilter(@ByVal
                                                                             UMat guide,
                                                                             @ByVal
                                                                             UMat src,
                                                                             @ByVal
                                                                             UMat dst,
                                                                             double lambda,
                                                                             double sigma_color,
                                                                             double lambda_attenuation,
                                                                             int num_iter)

fastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
public static void fastGlobalSmootherFilter(@ByVal
                                                                             UMat guide,
                                                                             @ByVal
                                                                             UMat src,
                                                                             @ByVal
                                                                             UMat dst,
                                                                             double lambda,
                                                                             double sigma_color)

fastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
public static void fastGlobalSmootherFilter(@ByVal
                                                                             GpuMat guide,
                                                                             @ByVal
                                                                             GpuMat src,
                                                                             @ByVal
                                                                             GpuMat dst,
                                                                             double lambda,
                                                                             double sigma_color,
                                                                             double lambda_attenuation,
                                                                             int num_iter)

fastGlobalSmootherFilter

@Namespace(value="cv::ximgproc")
public static void fastGlobalSmootherFilter(@ByVal
                                                                             GpuMat guide,
                                                                             @ByVal
                                                                             GpuMat src,
                                                                             @ByVal
                                                                             GpuMat dst,
                                                                             double lambda,
                                                                             double sigma_color)

l0Smooth

@Namespace(value="cv::ximgproc")
public static void l0Smooth(@ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst,
                                                             double lambda,
                                                             double kappa)

\brief Global image smoothing via L0 gradient minimization.

Parameters:: src - source image for filtering with unsigned 8-bit or signed 16-bit or floating-point depth.; dst - destination image.; lambda - parameter defining the smooth term weight.; kappa - parameter defining the increasing factor of the weight of the gradient data term.
For more details about L0 Smoother, see the original paper \cite xu2011image.

l0Smooth

@Namespace(value="cv::ximgproc")
public static void l0Smooth(@ByVal
                                                             Mat src,
                                                             @ByVal
                                                             Mat dst)

l0Smooth

@Namespace(value="cv::ximgproc")
public static void l0Smooth(@ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst,
                                                             double lambda,
                                                             double kappa)

l0Smooth

@Namespace(value="cv::ximgproc")
public static void l0Smooth(@ByVal
                                                             UMat src,
                                                             @ByVal
                                                             UMat dst)

l0Smooth

@Namespace(value="cv::ximgproc")
public static void l0Smooth(@ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst,
                                                             double lambda,
                                                             double kappa)

l0Smooth

@Namespace(value="cv::ximgproc")
public static void l0Smooth(@ByVal
                                                             GpuMat src,
                                                             @ByVal
                                                             GpuMat dst)

createDisparityWLSFilter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DisparityWLSFilter createDisparityWLSFilter(@opencv_core.Ptr
                                                                                                             StereoMatcher matcher_left)

\brief Convenience factory method that creates an instance of DisparityWLSFilter and sets up all the relevant filter parameters automatically based on the matcher instance. Currently supports only StereoBM and StereoSGBM.

Parameters:: matcher_left - stereo matcher instance that will be used with the filter

createRightMatcher

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static StereoMatcher createRightMatcher(@opencv_core.Ptr
                                                                                                  StereoMatcher matcher_left)

\brief Convenience method to set up the matcher for computing the right-view disparity map that is required in case of filtering with confidence.

Parameters:: matcher_left - main stereo matcher instance that will be used with the filter

createDisparityWLSFilterGeneric
```
@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static DisparityWLSFilter createDisparityWLSFilterGeneric(@Cast(value="bool")
                                                                                                                    boolean use_confidence)
```
\brief More generic factory method, create instance of DisparityWLSFilter and execute basic initialization routines. When using this method you will need to set-up the ROI, matchers and other parameters by yourself.

Parameters:

use_confidence - filtering with confidence requires two disparity maps (for the left and right views) and is approximately two times slower. However, quality is typically significantly better.

readGT

@Namespace(value="cv::ximgproc")
public static int readGT(@opencv_core.Str
                                                          BytePointer src_path,
                                                          @ByVal
                                                          Mat dst)

\brief Function for reading ground truth disparity maps. Supports basic Middlebury and MPI-Sintel formats. Note that the resulting disparity map is scaled by 16.

Parameters:: src_path - path to the image, containing ground-truth disparity map; dst - output disparity map, CV_16S depth
Returns:: returns zero if successfully read the ground truth

readGT

@Namespace(value="cv::ximgproc")
public static int readGT(@opencv_core.Str
                                                          String src_path,
                                                          @ByVal
                                                          Mat dst)

readGT

@Namespace(value="cv::ximgproc")
public static int readGT(@opencv_core.Str
                                                          String src_path,
                                                          @ByVal
                                                          UMat dst)

readGT

@Namespace(value="cv::ximgproc")
public static int readGT(@opencv_core.Str
                                                          BytePointer src_path,
                                                          @ByVal
                                                          UMat dst)

readGT

@Namespace(value="cv::ximgproc")
public static int readGT(@opencv_core.Str
                                                          BytePointer src_path,
                                                          @ByVal
                                                          GpuMat dst)

readGT

@Namespace(value="cv::ximgproc")
public static int readGT(@opencv_core.Str
                                                          String src_path,
                                                          @ByVal
                                                          GpuMat dst)

computeMSE

@Namespace(value="cv::ximgproc")
public static double computeMSE(@ByVal
                                                                 Mat GT,
                                                                 @ByVal
                                                                 Mat src,
                                                                 @ByVal
                                                                 Rect ROI)

\brief Function for computing mean square error for disparity maps

Parameters:: GT - ground truth disparity map; src - disparity map to evaluate; ROI - region of interest
Returns:: returns mean square error between GT and src

computeMSE

@Namespace(value="cv::ximgproc")
public static double computeMSE(@ByVal
                                                                 UMat GT,
                                                                 @ByVal
                                                                 UMat src,
                                                                 @ByVal
                                                                 Rect ROI)

computeMSE

@Namespace(value="cv::ximgproc")
public static double computeMSE(@ByVal
                                                                 GpuMat GT,
                                                                 @ByVal
                                                                 GpuMat src,
                                                                 @ByVal
                                                                 Rect ROI)

computeBadPixelPercent

@Namespace(value="cv::ximgproc")
public static double computeBadPixelPercent(@ByVal
                                                                             Mat GT,
                                                                             @ByVal
                                                                             Mat src,
                                                                             @ByVal
                                                                             Rect ROI,
                                                                             int thresh)

\brief Function for computing the percent of "bad" pixels in the disparity map (pixels where error is higher than a specified threshold)

Parameters:: GT - ground truth disparity map; src - disparity map to evaluate; ROI - region of interest; thresh - threshold used to determine "bad" pixels
Returns:: returns mean square error between GT and src

computeBadPixelPercent

@Namespace(value="cv::ximgproc")
public static double computeBadPixelPercent(@ByVal
                                                                             Mat GT,
                                                                             @ByVal
                                                                             Mat src,
                                                                             @ByVal
                                                                             Rect ROI)

computeBadPixelPercent

@Namespace(value="cv::ximgproc")
public static double computeBadPixelPercent(@ByVal
                                                                             UMat GT,
                                                                             @ByVal
                                                                             UMat src,
                                                                             @ByVal
                                                                             Rect ROI,
                                                                             int thresh)

computeBadPixelPercent

@Namespace(value="cv::ximgproc")
public static double computeBadPixelPercent(@ByVal
                                                                             UMat GT,
                                                                             @ByVal
                                                                             UMat src,
                                                                             @ByVal
                                                                             Rect ROI)

computeBadPixelPercent

@Namespace(value="cv::ximgproc")
public static double computeBadPixelPercent(@ByVal
                                                                             GpuMat GT,
                                                                             @ByVal
                                                                             GpuMat src,
                                                                             @ByVal
                                                                             Rect ROI,
                                                                             int thresh)

computeBadPixelPercent

@Namespace(value="cv::ximgproc")
public static double computeBadPixelPercent(@ByVal
                                                                             GpuMat GT,
                                                                             @ByVal
                                                                             GpuMat src,
                                                                             @ByVal
                                                                             Rect ROI)

getDisparityVis

@Namespace(value="cv::ximgproc")
public static void getDisparityVis(@ByVal
                                                                    Mat src,
                                                                    @ByVal
                                                                    Mat dst,
                                                                    double scale)

\brief Function for creating a disparity map visualization (clamped CV_8U image)

Parameters:: src - input disparity map (CV_16S depth); dst - output visualization; scale - disparity map will be multiplied by this value for visualization

getDisparityVis

@Namespace(value="cv::ximgproc")
public static void getDisparityVis(@ByVal
                                                                    Mat src,
                                                                    @ByVal
                                                                    Mat dst)

getDisparityVis

@Namespace(value="cv::ximgproc")
public static void getDisparityVis(@ByVal
                                                                    UMat src,
                                                                    @ByVal
                                                                    UMat dst,
                                                                    double scale)

getDisparityVis

@Namespace(value="cv::ximgproc")
public static void getDisparityVis(@ByVal
                                                                    UMat src,
                                                                    @ByVal
                                                                    UMat dst)

getDisparityVis

@Namespace(value="cv::ximgproc")
public static void getDisparityVis(@ByVal
                                                                    GpuMat src,
                                                                    @ByVal
                                                                    GpuMat dst,
                                                                    double scale)

getDisparityVis

@Namespace(value="cv::ximgproc")
public static void getDisparityVis(@ByVal
                                                                    GpuMat src,
                                                                    @ByVal
                                                                    GpuMat dst)

createEdgeAwareInterpolator

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static EdgeAwareInterpolator createEdgeAwareInterpolator()

\brief Factory method that creates an instance of the EdgeAwareInterpolator.

createRICInterpolator

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static RICInterpolator createRICInterpolator()

\brief Factory method that creates an instance of the RICInterpolator.

createRFFeatureGetter

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static RFFeatureGetter createRFFeatureGetter()

\file \date Jun 17, 2014

createStructuredEdgeDetection

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static StructuredEdgeDetection createStructuredEdgeDetection(@opencv_core.Str
                                                                                                                       BytePointer model,
                                                                                                                       @Const @opencv_core.Ptr
                                                                                                                       RFFeatureGetter howToGetFeatures)

The only constructor

Parameters:: model - : name of the file where the model is stored; howToGetFeatures - : optional object inheriting from RFFeatureGetter. You need it only if you would like to train your own forest, pass NULL otherwise

createStructuredEdgeDetection

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static StructuredEdgeDetection createStructuredEdgeDetection(@opencv_core.Str
                                                                                                                       BytePointer model)

createStructuredEdgeDetection

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static StructuredEdgeDetection createStructuredEdgeDetection(@opencv_core.Str
                                                                                                                       String model,
                                                                                                                       @Const @opencv_core.Ptr
                                                                                                                       RFFeatureGetter howToGetFeatures)

createStructuredEdgeDetection

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static StructuredEdgeDetection createStructuredEdgeDetection(@opencv_core.Str
                                                                                                                       String model)

createSuperpixelSEEDS
```
@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSEEDS createSuperpixelSEEDS(int image_width,
                                                                                                       int image_height,
                                                                                                       int image_channels,
                                                                                                       int num_superpixels,
                                                                                                       int num_levels,
                                                                                                       int prior,
                                                                                                       int histogram_bins,
                                                                                                       @Cast(value="bool")
                                                                                                       boolean double_step)
```
\brief Initializes a SuperpixelSEEDS object.

Parameters:

image_width - Image width.

image_height - Image height.

image_channels - Number of channels of the image.

num_superpixels - Desired number of superpixels. Note that the actual number may be smaller due to restrictions (depending on the image size and num_levels). Use getNumberOfSuperpixels() to get the actual number.

num_levels - Number of block levels. The more levels, the more accurate is the segmentation, but needs more memory and CPU time.

prior - enable 3x3 shape smoothing term if \>0. A larger value leads to smoother shapes. prior must be in the range [0, 5].

histogram_bins - Number of histogram bins.

double_step - If true, iterate each block level twice for higher accuracy.
The function initializes a SuperpixelSEEDS object for the input image. It stores the parameters of the image: image_width, image_height and image_channels. It also sets the parameters of the SEEDS superpixel algorithm, which are: num_superpixels, num_levels, use_prior, histogram_bins and double_step.
The number of levels in num_levels defines the amount of block levels that the algorithm use in the optimization. The initialization is a grid, in which the superpixels are equally distributed through the width and the height of the image. The larger blocks correspond to the superpixel size, and the levels with smaller blocks are formed by dividing the larger blocks into 2 x 2 blocks of pixels, recursively until the smaller block level. An example of initialization of 4 block levels is illustrated in the following figure.
![image](pics/superpixels_blocks.png)

createSuperpixelSEEDS

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSEEDS createSuperpixelSEEDS(int image_width,
                                                                                                       int image_height,
                                                                                                       int image_channels,
                                                                                                       int num_superpixels,
                                                                                                       int num_levels)

createGraphSegmentation

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static GraphSegmentation createGraphSegmentation(double sigma,
                                                                                                                         float k,
                                                                                                                         int min_size)

\brief Creates a graph based segmentor

Parameters:: sigma - The sigma parameter, used to smooth image; k - The k parameter of the algorythm; min_size - The minimum size of segments

createGraphSegmentation

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static GraphSegmentation createGraphSegmentation()

createSelectiveSearchSegmentationStrategyColor

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyColor createSelectiveSearchSegmentationStrategyColor()

\brief Create a new color-based strategy

createSelectiveSearchSegmentationStrategySize

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategySize createSelectiveSearchSegmentationStrategySize()

\brief Create a new size-based strategy

createSelectiveSearchSegmentationStrategyTexture

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyTexture createSelectiveSearchSegmentationStrategyTexture()

\brief Create a new size-based strategy

createSelectiveSearchSegmentationStrategyFill

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyFill createSelectiveSearchSegmentationStrategyFill()

\brief Create a new fill-based strategy

createSelectiveSearchSegmentationStrategyMultiple

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyMultiple createSelectiveSearchSegmentationStrategyMultiple()

\brief Create a new multiple strategy

createSelectiveSearchSegmentationStrategyMultiple

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyMultiple createSelectiveSearchSegmentationStrategyMultiple(@opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s1)

\brief Create a new multiple strategy and set one subtrategy

Parameters:: s1 - The first strategy

createSelectiveSearchSegmentationStrategyMultiple

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyMultiple createSelectiveSearchSegmentationStrategyMultiple(@opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s1,
                                                                                                                                                                             @opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s2)

\brief Create a new multiple strategy and set two subtrategies, with equal weights

Parameters:: s1 - The first strategy; s2 - The second strategy

createSelectiveSearchSegmentationStrategyMultiple

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyMultiple createSelectiveSearchSegmentationStrategyMultiple(@opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s1,
                                                                                                                                                                             @opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s2,
                                                                                                                                                                             @opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s3)

\brief Create a new multiple strategy and set three subtrategies, with equal weights

Parameters:: s1 - The first strategy; s2 - The second strategy; s3 - The third strategy

createSelectiveSearchSegmentationStrategyMultiple

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentationStrategyMultiple createSelectiveSearchSegmentationStrategyMultiple(@opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s1,
                                                                                                                                                                             @opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s2,
                                                                                                                                                                             @opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s3,
                                                                                                                                                                             @opencv_core.Ptr
                                                                                                                                                                             SelectiveSearchSegmentationStrategy s4)

\brief Create a new multiple strategy and set four subtrategies, with equal weights

Parameters:: s1 - The first strategy; s2 - The second strategy; s3 - The third strategy; s4 - The forth strategy

createSelectiveSearchSegmentation

@Namespace(value="cv::ximgproc::segmentation")
 @opencv_core.Ptr
public static SelectiveSearchSegmentation createSelectiveSearchSegmentation()

\brief Create a new SelectiveSearchSegmentation class.

FastHoughTransform

@Namespace(value="cv::ximgproc")
public static void FastHoughTransform(@ByVal
                                                                       Mat src,
                                                                       @ByVal
                                                                       Mat dst,
                                                                       int dstMatDepth,
                                                                       int angleRange,
                                                                       int op,
                                                                       int makeSkew)

\brief Calculates 2D Fast Hough transform of an image.

Parameters:: dst - The destination image, result of transformation.; src - The source (input) image.; dstMatDepth - The depth of destination image; op - The operation to be applied, see cv::HoughOp; angleRange - The part of Hough space to calculate, see cv::AngleRangeOption; makeSkew - Specifies to do or not to do image skewing, see cv::HoughDeskewOption The function calculates the fast Hough transform for full, half or quarter range of angles.

FastHoughTransform

@Namespace(value="cv::ximgproc")
public static void FastHoughTransform(@ByVal
                                                                       Mat src,
                                                                       @ByVal
                                                                       Mat dst,
                                                                       int dstMatDepth)

FastHoughTransform

@Namespace(value="cv::ximgproc")
public static void FastHoughTransform(@ByVal
                                                                       UMat src,
                                                                       @ByVal
                                                                       UMat dst,
                                                                       int dstMatDepth,
                                                                       int angleRange,
                                                                       int op,
                                                                       int makeSkew)

FastHoughTransform

@Namespace(value="cv::ximgproc")
public static void FastHoughTransform(@ByVal
                                                                       UMat src,
                                                                       @ByVal
                                                                       UMat dst,
                                                                       int dstMatDepth)

FastHoughTransform

@Namespace(value="cv::ximgproc")
public static void FastHoughTransform(@ByVal
                                                                       GpuMat src,
                                                                       @ByVal
                                                                       GpuMat dst,
                                                                       int dstMatDepth,
                                                                       int angleRange,
                                                                       int op,
                                                                       int makeSkew)

FastHoughTransform

@Namespace(value="cv::ximgproc")
public static void FastHoughTransform(@ByVal
                                                                       GpuMat src,
                                                                       @ByVal
                                                                       GpuMat dst,
                                                                       int dstMatDepth)

HoughPoint2Line

@Namespace(value="cv::ximgproc")
 @ByVal
 @Cast(value="cv::Vec4i*")
public static Scalar4i HoughPoint2Line(@Const @ByRef
                                                                                                           Point houghPoint,
                                                                                                           @ByVal
                                                                                                           Mat srcImgInfo,
                                                                                                           int angleRange,
                                                                                                           int makeSkew,
                                                                                                           int rules)

\brief Calculates coordinates of line segment corresponded by point in Hough space.

Parameters:: houghPoint - Point in Hough space.; srcImgInfo - The source (input) image of Hough transform.; angleRange - The part of Hough space where point is situated, see cv::AngleRangeOption; makeSkew - Specifies to do or not to do image skewing, see cv::HoughDeskewOption; rules - Specifies strictness of line segment calculating, see cv::RulesOption \retval [Vec4i] Coordinates of line segment corresponded by point in Hough space. \remarks If rules parameter set to RO_STRICT then returned line cut along the border of source image. \remarks If rules parameter set to RO_WEAK then in case of point, which belongs the incorrect part of Hough image, returned line will not intersect source image. The function calculates coordinates of line segment corresponded by point in Hough space.

HoughPoint2Line

@Namespace(value="cv::ximgproc")
 @ByVal
 @Cast(value="cv::Vec4i*")
public static Scalar4i HoughPoint2Line(@Const @ByRef
                                                                                                           Point houghPoint,
                                                                                                           @ByVal
                                                                                                           Mat srcImgInfo)

HoughPoint2Line

@Namespace(value="cv::ximgproc")
 @ByVal
 @Cast(value="cv::Vec4i*")
public static Scalar4i HoughPoint2Line(@Const @ByRef
                                                                                                           Point houghPoint,
                                                                                                           @ByVal
                                                                                                           UMat srcImgInfo,
                                                                                                           int angleRange,
                                                                                                           int makeSkew,
                                                                                                           int rules)

HoughPoint2Line

@Namespace(value="cv::ximgproc")
 @ByVal
 @Cast(value="cv::Vec4i*")
public static Scalar4i HoughPoint2Line(@Const @ByRef
                                                                                                           Point houghPoint,
                                                                                                           @ByVal
                                                                                                           UMat srcImgInfo)

HoughPoint2Line

@Namespace(value="cv::ximgproc")
 @ByVal
 @Cast(value="cv::Vec4i*")
public static Scalar4i HoughPoint2Line(@Const @ByRef
                                                                                                           Point houghPoint,
                                                                                                           @ByVal
                                                                                                           GpuMat srcImgInfo,
                                                                                                           int angleRange,
                                                                                                           int makeSkew,
                                                                                                           int rules)

HoughPoint2Line

@Namespace(value="cv::ximgproc")
 @ByVal
 @Cast(value="cv::Vec4i*")
public static Scalar4i HoughPoint2Line(@Const @ByRef
                                                                                                           Point houghPoint,
                                                                                                           @ByVal
                                                                                                           GpuMat srcImgInfo)

covarianceEstimation
```
@Namespace(value="cv::ximgproc")
public static void covarianceEstimation(@ByVal
                                                                         Mat src,
                                                                         @ByVal
                                                                         Mat dst,
                                                                         int windowRows,
                                                                         int windowCols)
```
\brief Computes the estimated covariance matrix of an image using the sliding window forumlation.

Parameters:

src - The source image. Input image must be of a complex type.

dst - The destination estimated covariance matrix. Output matrix will be size (windowRows*windowCols, windowRows*windowCols).

windowRows - The number of rows in the window.

windowCols - The number of cols in the window. The window size parameters control the accuracy of the estimation. The sliding window moves over the entire image from the top-left corner to the bottom right corner. Each location of the window represents a sample. If the window is the size of the image, then this gives the exact covariance matrix. For all other cases, the sizes of the window will impact the number of samples and the number of elements in the estimated covariance matrix.

covarianceEstimation

@Namespace(value="cv::ximgproc")
public static void covarianceEstimation(@ByVal
                                                                         UMat src,
                                                                         @ByVal
                                                                         UMat dst,
                                                                         int windowRows,
                                                                         int windowCols)

covarianceEstimation

@Namespace(value="cv::ximgproc")
public static void covarianceEstimation(@ByVal
                                                                         GpuMat src,
                                                                         @ByVal
                                                                         GpuMat dst,
                                                                         int windowRows,
                                                                         int windowCols)

createSuperpixelSLIC
```
@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSLIC createSuperpixelSLIC(@ByVal
                                                                                                     Mat image,
                                                                                                     int algorithm,
                                                                                                     int region_size,
                                                                                                     float ruler)
```
\brief Initialize a SuperpixelSLIC object

Parameters:

image - Image to segment

algorithm - Chooses the algorithm variant to use: SLIC segments image using a desired region_size, and in addition SLICO will optimize using adaptive compactness factor, while MSLIC will optimize using manifold methods resulting in more content-sensitive superpixels.

region_size - Chooses an average superpixel size measured in pixels

ruler - Chooses the enforcement of superpixel smoothness factor of superpixel
The function initializes a SuperpixelSLIC object for the input image. It sets the parameters of choosed superpixel algorithm, which are: region_size and ruler. It preallocate some buffers for future computing iterations over the given image. For enanched results it is recommended for color images to preprocess image with little gaussian blur using a small 3 x 3 kernel and additional conversion into CieLAB color space. An example of SLIC versus SLICO and MSLIC is ilustrated in the following picture.
![image](pics/superpixels_slic.png)

createSuperpixelSLIC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSLIC createSuperpixelSLIC(@ByVal
                                                                                                     Mat image)

createSuperpixelSLIC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSLIC createSuperpixelSLIC(@ByVal
                                                                                                     UMat image,
                                                                                                     int algorithm,
                                                                                                     int region_size,
                                                                                                     float ruler)

createSuperpixelSLIC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSLIC createSuperpixelSLIC(@ByVal
                                                                                                     UMat image)

createSuperpixelSLIC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSLIC createSuperpixelSLIC(@ByVal
                                                                                                     GpuMat image,
                                                                                                     int algorithm,
                                                                                                     int region_size,
                                                                                                     float ruler)

createSuperpixelSLIC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelSLIC createSuperpixelSLIC(@ByVal
                                                                                                     GpuMat image)

createSuperpixelLSC
```
@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelLSC createSuperpixelLSC(@ByVal
                                                                                                   Mat image,
                                                                                                   int region_size,
                                                                                                   float ratio)
```
\brief Class implementing the LSC (Linear Spectral Clustering) superpixels

Parameters:

image - Image to segment

region_size - Chooses an average superpixel size measured in pixels

ratio - Chooses the enforcement of superpixel compactness factor of superpixel
The function initializes a SuperpixelLSC object for the input image. It sets the parameters of superpixel algorithm, which are: region_size and ruler. It preallocate some buffers for future computing iterations over the given image. An example of LSC is ilustrated in the following picture. For enanched results it is recommended for color images to preprocess image with little gaussian blur with a small 3 x 3 kernel and additional conversion into CieLAB color space.
![image](pics/superpixels_lsc.png)

createSuperpixelLSC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelLSC createSuperpixelLSC(@ByVal
                                                                                                   Mat image)

createSuperpixelLSC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelLSC createSuperpixelLSC(@ByVal
                                                                                                   UMat image,
                                                                                                   int region_size,
                                                                                                   float ratio)

createSuperpixelLSC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelLSC createSuperpixelLSC(@ByVal
                                                                                                   UMat image)

createSuperpixelLSC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelLSC createSuperpixelLSC(@ByVal
                                                                                                   GpuMat image,
                                                                                                   int region_size,
                                                                                                   float ratio)

createSuperpixelLSC

@Namespace(value="cv::ximgproc")
 @opencv_core.Ptr
public static SuperpixelLSC createSuperpixelLSC(@ByVal
                                                                                                   GpuMat image)

Class opencv_ximgproc

Field Summary

Constructor Summary

Method Summary

Methods inherited from class org.bytedeco.opencv.presets.opencv_ximgproc

Methods inherited from class java.lang.Object

Field Detail

THINNING_ZHANGSUEN

THINNING_GUOHALL

BINARIZATION_NIBLACK

BINARIZATION_SAUVOLA

BINARIZATION_WOLF

BINARIZATION_NICK

DTF_NC

DTF_IC

DTF_RF

GUIDED_FILTER

AM_FILTER

ARO_0_45

ARO_45_90

ARO_90_135

ARO_315_0

ARO_315_45

ARO_45_135

ARO_315_135

ARO_CTR_HOR

ARO_CTR_VER

FHT_MIN

FHT_MAX

FHT_ADD

FHT_AVE

HDO_RAW

HDO_DESKEW

RO_STRICT

RO_IGNORE_BORDERS

SLIC

SLICO

MSLIC

Constructor Detail

opencv_ximgproc

Method Detail

niBlackThreshold

niBlackThreshold

niBlackThreshold

niBlackThreshold

niBlackThreshold

niBlackThreshold

thinning

thinning

thinning

thinning

thinning

thinning

anisotropicDiffusion

anisotropicDiffusion

anisotropicDiffusion

createDTFilter

createDTFilter

createDTFilter

createDTFilter

createDTFilter

createDTFilter

dtFilter

dtFilter

dtFilter

dtFilter

dtFilter

dtFilter

createGuidedFilter

createGuidedFilter

createGuidedFilter

guidedFilter

guidedFilter

guidedFilter

guidedFilter

guidedFilter

guidedFilter

createAMFilter

createAMFilter

amFilter