opencv_text (JavaCPP Presets for OpenCV 4.3.0-1.5.3 API)

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

All Implemented Interfaces:: InfoMapper

public class opencv_text
extends opencv_text

Field Summary

Fields
Modifier and Type	Field and Description
`static int`	`ERFILTER_NM_IHSGrad` enum cv::text::
`static int`	`ERFILTER_NM_RGBLGrad` enum cv::text::
`static int`	`ERGROUPING_ORIENTATION_ANY` enum cv::text::erGrouping_Modes
`static int`	`ERGROUPING_ORIENTATION_HORIZ` enum cv::text::erGrouping_Modes
`static int`	`OCR_CNN_CLASSIFIER` enum cv::text::classifier_type
`static int`	`OCR_DECODER_VITERBI` enum cv::text::decoder_mode
`static int`	`OCR_KNN_CLASSIFIER` enum cv::text::classifier_type
`static int`	`OCR_LEVEL_TEXTLINE` enum cv::text::
`static int`	`OCR_LEVEL_WORD` enum cv::text::
`static int`	`OEM_CUBE_ONLY` enum cv::text::ocr_engine_mode
`static int`	`OEM_DEFAULT` enum cv::text::ocr_engine_mode
`static int`	`OEM_TESSERACT_CUBE_COMBINED` enum cv::text::ocr_engine_mode
`static int`	`OEM_TESSERACT_ONLY` enum cv::text::ocr_engine_mode
`static int`	`PSM_AUTO` enum cv::text::page_seg_mode
`static int`	`PSM_AUTO_ONLY` enum cv::text::page_seg_mode
`static int`	`PSM_AUTO_OSD` enum cv::text::page_seg_mode
`static int`	`PSM_CIRCLE_WORD` enum cv::text::page_seg_mode
`static int`	`PSM_OSD_ONLY` enum cv::text::page_seg_mode
`static int`	`PSM_SINGLE_BLOCK` enum cv::text::page_seg_mode
`static int`	`PSM_SINGLE_BLOCK_VERT_TEXT` enum cv::text::page_seg_mode
`static int`	`PSM_SINGLE_CHAR` enum cv::text::page_seg_mode
`static int`	`PSM_SINGLE_COLUMN` enum cv::text::page_seg_mode
`static int`	`PSM_SINGLE_LINE` enum cv::text::page_seg_mode
`static int`	`PSM_SINGLE_WORD` enum cv::text::page_seg_mode

Constructor Summary

Constructors
Constructor and Description

opencv_text()

Constructors
Constructor and Description
`opencv_text()`

Method Summary

All Methods Static Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`static void`	`computeNMChannels(GpuMat _src, GpuMatVector _channels)`
`static void`	`computeNMChannels(GpuMat _src, GpuMatVector _channels, int _mode)`
`static void`	`computeNMChannels(GpuMat _src, MatVector _channels)`
`static void`	`computeNMChannels(GpuMat _src, MatVector _channels, int _mode)`
`static void`	`computeNMChannels(GpuMat _src, UMatVector _channels)`
`static void`	`computeNMChannels(GpuMat _src, UMatVector _channels, int _mode)`
`static void`	`computeNMChannels(Mat _src, GpuMatVector _channels)`
`static void`	`computeNMChannels(Mat _src, GpuMatVector _channels, int _mode)`
`static void`	`computeNMChannels(Mat _src, MatVector _channels)`
`static void`	`computeNMChannels(Mat _src, MatVector _channels, int _mode)` \brief Compute the different channels to be processed independently in the N&M algorithm \cite Neumann12.
`static void`	`computeNMChannels(Mat _src, UMatVector _channels)`
`static void`	`computeNMChannels(Mat _src, UMatVector _channels, int _mode)`
`static void`	`computeNMChannels(UMat _src, GpuMatVector _channels)`
`static void`	`computeNMChannels(UMat _src, GpuMatVector _channels, int _mode)`
`static void`	`computeNMChannels(UMat _src, MatVector _channels)`
`static void`	`computeNMChannels(UMat _src, MatVector _channels, int _mode)`
`static void`	`computeNMChannels(UMat _src, UMatVector _channels)`
`static void`	`computeNMChannels(UMat _src, UMatVector _channels, int _mode)`
`static ERFilter`	`createERFilterNM1(BytePointer filename)`
`static ERFilter`	`createERFilterNM1(BytePointer filename, int thresholdDelta, float minArea, float maxArea, float minProbability, boolean nonMaxSuppression, float minProbabilityDiff)` \brief Reads an Extremal Region Filter for the 1st stage classifier of N&M algorithm from the provided path e.g.
`static ERFilter`	`createERFilterNM1(ERFilter.Callback cb)`
`static ERFilter`	`createERFilterNM1(ERFilter.Callback cb, int thresholdDelta, float minArea, float maxArea, float minProbability, boolean nonMaxSuppression, float minProbabilityDiff)` \brief Create an Extremal Region Filter for the 1st stage classifier of N&M algorithm \cite Neumann12.
`static ERFilter`	`createERFilterNM1(String filename)`
`static ERFilter`	`createERFilterNM1(String filename, int thresholdDelta, float minArea, float maxArea, float minProbability, boolean nonMaxSuppression, float minProbabilityDiff)`
`static ERFilter`	`createERFilterNM2(BytePointer filename)`
`static ERFilter`	`createERFilterNM2(BytePointer filename, float minProbability)` \brief Reads an Extremal Region Filter for the 2nd stage classifier of N&M algorithm from the provided path e.g.
`static ERFilter`	`createERFilterNM2(ERFilter.Callback cb)`
`static ERFilter`	`createERFilterNM2(ERFilter.Callback cb, float minProbability)` \brief Create an Extremal Region Filter for the 2nd stage classifier of N&M algorithm \cite Neumann12.
`static ERFilter`	`createERFilterNM2(String filename)`
`static ERFilter`	`createERFilterNM2(String filename, float minProbability)`
`static Mat`	`createOCRHMMTransitionsTable(BytePointer vocabulary, StringVector lexicon)`
`static void`	`createOCRHMMTransitionsTable(BytePointer vocabulary, StringVector lexicon, GpuMat transition_probabilities_table)`
`static void`	`createOCRHMMTransitionsTable(BytePointer vocabulary, StringVector lexicon, Mat transition_probabilities_table)` \}
`static void`	`createOCRHMMTransitionsTable(BytePointer vocabulary, StringVector lexicon, UMat transition_probabilities_table)`
`static Mat`	`createOCRHMMTransitionsTable(String vocabulary, StringVector lexicon)`
`static void`	`detectRegions(GpuMat image, ERFilter er_filter1, ERFilter er_filter2, PointVectorVector regions)`
`static void`	`detectRegions(GpuMat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects)`
`static void`	`detectRegions(GpuMat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects, int method, BytePointer filename, float minProbability)`
`static void`	`detectRegions(GpuMat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects, int method, String filename, float minProbability)`
`static void`	`detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, PointVectorVector regions)`
`static void`	`detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects)`
`static void`	`detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects, int method, BytePointer filename, float minProbability)` \brief Extracts text regions from image.
`static void`	`detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects, int method, String filename, float minProbability)`
`static void`	`detectRegions(UMat image, ERFilter er_filter1, ERFilter er_filter2, PointVectorVector regions)`
`static void`	`detectRegions(UMat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects)`
`static void`	`detectRegions(UMat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects, int method, BytePointer filename, float minProbability)`
`static void`	`detectRegions(UMat image, ERFilter er_filter1, ERFilter er_filter2, RectVector groups_rects, int method, String filename, float minProbability)`
`static void`	`erGrouping(GpuMat image, GpuMat channel, PointVectorVector regions, RectVector groups_rects)`
`static void`	`erGrouping(GpuMat image, GpuMat channel, PointVectorVector regions, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(GpuMat image, GpuMat channel, PointVectorVector regions, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(GpuMat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(GpuMat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(GpuMat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(GpuMat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(GpuMat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(GpuMat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(GpuMat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(GpuMat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(GpuMat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(Mat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(Mat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(Mat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(Mat image, Mat channel, PointVectorVector regions, RectVector groups_rects)`
`static void`	`erGrouping(Mat image, Mat channel, PointVectorVector regions, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(Mat image, Mat channel, PointVectorVector regions, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(Mat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(Mat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)` \brief Find groups of Extremal Regions that are organized as text blocks.
`static void`	`erGrouping(Mat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(Mat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(Mat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(Mat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(UMat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(UMat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(UMat img, GpuMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(UMat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(UMat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(UMat img, MatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(UMat image, UMat channel, PointVectorVector regions, RectVector groups_rects)`
`static void`	`erGrouping(UMat image, UMat channel, PointVectorVector regions, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(UMat image, UMat channel, PointVectorVector regions, RectVector groups_rects, int method, String filename, float minProbablity)`
`static void`	`erGrouping(UMat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects)`
`static void`	`erGrouping(UMat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, BytePointer filename, float minProbablity)`
`static void`	`erGrouping(UMat img, UMatVector channels, ERStatVectorVector regions, PointVectorVector groups, RectVector groups_rects, int method, String filename, float minProbablity)`
`static ERFilter.Callback`	`loadClassifierNM1(BytePointer filename)` \brief Allow to implicitly load the default classifier when creating an ERFilter object.
`static ERFilter.Callback`	`loadClassifierNM1(String filename)`
`static ERFilter.Callback`	`loadClassifierNM2(BytePointer filename)` \brief Allow to implicitly load the default classifier when creating an ERFilter object.
`static ERFilter.Callback`	`loadClassifierNM2(String filename)`
`static OCRBeamSearchDecoder.ClassifierCallback`	`loadOCRBeamSearchClassifierCNN(BytePointer filename)` \brief Allow to implicitly load the default character classifier when creating an OCRBeamSearchDecoder object.
`static OCRBeamSearchDecoder.ClassifierCallback`	`loadOCRBeamSearchClassifierCNN(String filename)`
`static OCRHMMDecoder.ClassifierCallback`	`loadOCRHMMClassifier(BytePointer filename, int classifier)` \brief Allow to implicitly load the default character classifier when creating an OCRHMMDecoder object.
`static OCRHMMDecoder.ClassifierCallback`	`loadOCRHMMClassifier(String filename, int classifier)`
`static OCRHMMDecoder.ClassifierCallback`	`loadOCRHMMClassifierCNN(BytePointer filename)` Deprecated. use loadOCRHMMClassifier instead
`static OCRHMMDecoder.ClassifierCallback`	`loadOCRHMMClassifierCNN(String filename)`
`static OCRHMMDecoder.ClassifierCallback`	`loadOCRHMMClassifierNM(BytePointer filename)` Deprecated. loadOCRHMMClassifier instead
`static OCRHMMDecoder.ClassifierCallback`	`loadOCRHMMClassifierNM(String filename)`
`static void`	`MSERsToERStats(GpuMat image, PointVectorVector contours, ERStatVectorVector regions)`
`static void`	`MSERsToERStats(Mat image, PointVectorVector contours, ERStatVectorVector regions)` \brief Converts MSER contours (vector\) to ERStat regions.
`static void`	`MSERsToERStats(UMat image, PointVectorVector contours, ERStatVectorVector regions)`

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

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

Field Detail
- ERFILTER_NM_RGBLGrad
```
public static final int ERFILTER_NM_RGBLGrad
```
  enum cv::text::
  
  See Also:
  
  Constant Field Values
- ERFILTER_NM_IHSGrad
```
public static final int ERFILTER_NM_IHSGrad
```
  enum cv::text::
  
  See Also:
  
  Constant Field Values
- ERGROUPING_ORIENTATION_HORIZ
```
public static final int ERGROUPING_ORIENTATION_HORIZ
```
  enum cv::text::erGrouping_Modes
  
  See Also:
  
  Constant Field Values
- ERGROUPING_ORIENTATION_ANY
```
public static final int ERGROUPING_ORIENTATION_ANY
```
  enum cv::text::erGrouping_Modes
  
  See Also:
  
  Constant Field Values
- OCR_LEVEL_WORD
```
public static final int OCR_LEVEL_WORD
```
  enum cv::text::
  
  See Also:
  
  Constant Field Values
- OCR_LEVEL_TEXTLINE
```
public static final int OCR_LEVEL_TEXTLINE
```
  enum cv::text::
  
  See Also:
  
  Constant Field Values
- PSM_OSD_ONLY
```
public static final int PSM_OSD_ONLY
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_AUTO_OSD
```
public static final int PSM_AUTO_OSD
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_AUTO_ONLY
```
public static final int PSM_AUTO_ONLY
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_AUTO
```
public static final int PSM_AUTO
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_SINGLE_COLUMN
```
public static final int PSM_SINGLE_COLUMN
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_SINGLE_BLOCK_VERT_TEXT
```
public static final int PSM_SINGLE_BLOCK_VERT_TEXT
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_SINGLE_BLOCK
```
public static final int PSM_SINGLE_BLOCK
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_SINGLE_LINE
```
public static final int PSM_SINGLE_LINE
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_SINGLE_WORD
```
public static final int PSM_SINGLE_WORD
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_CIRCLE_WORD
```
public static final int PSM_CIRCLE_WORD
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- PSM_SINGLE_CHAR
```
public static final int PSM_SINGLE_CHAR
```
  enum cv::text::page_seg_mode
  
  See Also:
  
  Constant Field Values
- OEM_TESSERACT_ONLY
```
public static final int OEM_TESSERACT_ONLY
```
  enum cv::text::ocr_engine_mode
  
  See Also:
  
  Constant Field Values
- OEM_CUBE_ONLY
```
public static final int OEM_CUBE_ONLY
```
  enum cv::text::ocr_engine_mode
  
  See Also:
  
  Constant Field Values
- OEM_TESSERACT_CUBE_COMBINED
```
public static final int OEM_TESSERACT_CUBE_COMBINED
```
  enum cv::text::ocr_engine_mode
  
  See Also:
  
  Constant Field Values
- OEM_DEFAULT
```
public static final int OEM_DEFAULT
```
  enum cv::text::ocr_engine_mode
  
  See Also:
  
  Constant Field Values
- OCR_DECODER_VITERBI
```
public static final int OCR_DECODER_VITERBI
```
  enum cv::text::decoder_mode
  
  See Also:
  
  Constant Field Values
- OCR_KNN_CLASSIFIER
```
public static final int OCR_KNN_CLASSIFIER
```
  enum cv::text::classifier_type
  
  See Also:
  
  Constant Field Values
- OCR_CNN_CLASSIFIER
```
public static final int OCR_CNN_CLASSIFIER
```
  enum cv::text::classifier_type
  
  See Also:
  
  Constant Field Values

Constructor Detail
- opencv_text
```
public opencv_text()
```

Method Detail

createERFilterNM1
```
@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM1(@opencv_core.Ptr
                                                                                        ERFilter.Callback cb,
                                                                                        int thresholdDelta,
                                                                                        float minArea,
                                                                                        float maxArea,
                                                                                        float minProbability,
                                                                                        @Cast(value="bool")
                                                                                        boolean nonMaxSuppression,
                                                                                        float minProbabilityDiff)
```
\brief Create an Extremal Region Filter for the 1st stage classifier of N&M algorithm \cite Neumann12.

Parameters:

cb - : Callback with the classifier. Default classifier can be implicitly load with function loadClassifierNM1, e.g. from file in samples/cpp/trained_classifierNM1.xml

thresholdDelta - : Threshold step in subsequent thresholds when extracting the component tree

minArea - : The minimum area (% of image size) allowed for retreived ER's

maxArea - : The maximum area (% of image size) allowed for retreived ER's

minProbability - : The minimum probability P(er|character) allowed for retreived ER's

nonMaxSuppression - : Whenever non-maximum suppression is done over the branch probabilities

minProbabilityDiff - : The minimum probability difference between local maxima and local minima ERs
The component tree of the image is extracted by a threshold increased step by step from 0 to 255, incrementally computable descriptors (aspect_ratio, compactness, number of holes, and number of horizontal crossings) are computed for each ER and used as features for a classifier which estimates the class-conditional probability P(er|character). The value of P(er|character) is tracked using the inclusion relation of ER across all thresholds and only the ERs which correspond to local maximum of the probability P(er|character) are selected (if the local maximum of the probability is above a global limit pmin and the difference between local maximum and local minimum is greater than minProbabilityDiff).

createERFilterNM1

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM1(@opencv_core.Ptr
                                                                                        ERFilter.Callback cb)

createERFilterNM2
```
@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM2(@opencv_core.Ptr
                                                                                        ERFilter.Callback cb,
                                                                                        float minProbability)
```
\brief Create an Extremal Region Filter for the 2nd stage classifier of N&M algorithm \cite Neumann12.

Parameters:

cb - : Callback with the classifier. Default classifier can be implicitly load with function loadClassifierNM2, e.g. from file in samples/cpp/trained_classifierNM2.xml

minProbability - : The minimum probability P(er|character) allowed for retreived ER's
In the second stage, the ERs that passed the first stage are classified into character and non-character classes using more informative but also more computationally expensive features. The classifier uses all the features calculated in the first stage and the following additional features: hole area ratio, convex hull ratio, and number of outer inflexion points.

createERFilterNM2

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM2(@opencv_core.Ptr
                                                                                        ERFilter.Callback cb)

createERFilterNM1

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM1(@opencv_core.Str
                                                                                        BytePointer filename,
                                                                                        int thresholdDelta,
                                                                                        float minArea,
                                                                                        float maxArea,
                                                                                        float minProbability,
                                                                                        @Cast(value="bool")
                                                                                        boolean nonMaxSuppression,
                                                                                        float minProbabilityDiff)

\brief Reads an Extremal Region Filter for the 1st stage classifier of N&M algorithm from the provided path e.g. /path/to/cpp/trained_classifierNM1.xml

\overload

createERFilterNM1

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM1(@opencv_core.Str
                                                                                        BytePointer filename)

createERFilterNM1

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM1(@opencv_core.Str
                                                                                        String filename,
                                                                                        int thresholdDelta,
                                                                                        float minArea,
                                                                                        float maxArea,
                                                                                        float minProbability,
                                                                                        @Cast(value="bool")
                                                                                        boolean nonMaxSuppression,
                                                                                        float minProbabilityDiff)

createERFilterNM1

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM1(@opencv_core.Str
                                                                                        String filename)

createERFilterNM2

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM2(@opencv_core.Str
                                                                                        BytePointer filename,
                                                                                        float minProbability)

\brief Reads an Extremal Region Filter for the 2nd stage classifier of N&M algorithm from the provided path e.g. /path/to/cpp/trained_classifierNM2.xml

\overload

createERFilterNM2

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM2(@opencv_core.Str
                                                                                        BytePointer filename)

createERFilterNM2

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM2(@opencv_core.Str
                                                                                        String filename,
                                                                                        float minProbability)

createERFilterNM2

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter createERFilterNM2(@opencv_core.Str
                                                                                        String filename)

loadClassifierNM1

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter.Callback loadClassifierNM1(@opencv_core.Str
                                                                                                 BytePointer filename)

\brief Allow to implicitly load the default classifier when creating an ERFilter object.

Parameters:: filename - The XML or YAML file with the classifier model (e.g. trained_classifierNM1.xml)
returns a pointer to ERFilter::Callback.

loadClassifierNM1

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter.Callback loadClassifierNM1(@opencv_core.Str
                                                                                                 String filename)

loadClassifierNM2

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter.Callback loadClassifierNM2(@opencv_core.Str
                                                                                                 BytePointer filename)

\brief Allow to implicitly load the default classifier when creating an ERFilter object.

Parameters:: filename - The XML or YAML file with the classifier model (e.g. trained_classifierNM2.xml)
returns a pointer to ERFilter::Callback.

loadClassifierNM2

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static ERFilter.Callback loadClassifierNM2(@opencv_core.Str
                                                                                                 String filename)

computeNMChannels
```
@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  Mat _src,
                                                                  @ByVal
                                                                  MatVector _channels,
                                                                  int _mode)
```
\brief Compute the different channels to be processed independently in the N&M algorithm \cite Neumann12.

Parameters:

_src - Source image. Must be RGB CV_8UC3.

_channels - Output vector\ where computed channels are stored.

_mode - Mode of operation. Currently the only available options are: ERFILTER_NM_RGBLGrad** (used by default) and **ERFILTER_NM_IHSGrad**.
In N&M algorithm, the combination of intensity (I), hue (H), saturation (S), and gradient magnitude channels (Grad) are used in order to obtain high localization recall. This implementation also provides an alternative combination of red (R), green (G), blue (B), lightness (L), and gradient magnitude (Grad).

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  Mat _src,
                                                                  @ByVal
                                                                  MatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  Mat _src,
                                                                  @ByVal
                                                                  UMatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  Mat _src,
                                                                  @ByVal
                                                                  UMatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  Mat _src,
                                                                  @ByVal
                                                                  GpuMatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  Mat _src,
                                                                  @ByVal
                                                                  GpuMatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  UMat _src,
                                                                  @ByVal
                                                                  MatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  UMat _src,
                                                                  @ByVal
                                                                  MatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  UMat _src,
                                                                  @ByVal
                                                                  UMatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  UMat _src,
                                                                  @ByVal
                                                                  UMatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  UMat _src,
                                                                  @ByVal
                                                                  GpuMatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  UMat _src,
                                                                  @ByVal
                                                                  GpuMatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  GpuMat _src,
                                                                  @ByVal
                                                                  MatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  GpuMat _src,
                                                                  @ByVal
                                                                  MatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  GpuMat _src,
                                                                  @ByVal
                                                                  UMatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  GpuMat _src,
                                                                  @ByVal
                                                                  UMatVector _channels)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  GpuMat _src,
                                                                  @ByVal
                                                                  GpuMatVector _channels,
                                                                  int _mode)

computeNMChannels

@Namespace(value="cv::text")
public static void computeNMChannels(@ByVal
                                                                  GpuMat _src,
                                                                  @ByVal
                                                                  GpuMatVector _channels)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

\brief Find groups of Extremal Regions that are organized as text blocks.

Parameters:: img - Original RGB or Greyscale image from wich the regions were extracted.; channels - Vector of single channel images CV_8UC1 from wich the regions were extracted.; regions - Vector of ER's retrieved from the ERFilter algorithm from each channel.; groups - The output of the algorithm is stored in this parameter as set of lists of indexes to provided regions.; groups_rects - The output of the algorithm are stored in this parameter as list of rectangles.; method - Grouping method (see text::erGrouping_Modes). Can be one of ERGROUPING_ORIENTATION_HORIZ, ERGROUPING_ORIENTATION_ANY.; filename - The XML or YAML file with the classifier model (e.g. samples/trained_classifier_erGrouping.xml). Only to use when grouping method is ERGROUPING_ORIENTATION_ANY.; minProbablity - The minimum probability for accepting a group. Only to use when grouping method is ERGROUPING_ORIENTATION_ANY.

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           MatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           UMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat img,
                                                           @ByVal
                                                           GpuMatVector channels,
                                                           @ByRef
                                                           ERStatVectorVector regions,
                                                           @Cast(value="std::vector<std::vector<cv::Vec2i> >*") @ByRef
                                                           PointVectorVector groups,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @StdString
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat image,
                                                           @ByVal
                                                           Mat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @opencv_core.Str
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat image,
                                                           @ByVal
                                                           Mat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           Mat image,
                                                           @ByVal
                                                           Mat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @opencv_core.Str
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat image,
                                                           @ByVal
                                                           UMat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @opencv_core.Str
                                                           String filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat image,
                                                           @ByVal
                                                           UMat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           UMat image,
                                                           @ByVal
                                                           UMat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @opencv_core.Str
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat image,
                                                           @ByVal
                                                           GpuMat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @opencv_core.Str
                                                           BytePointer filename,
                                                           float minProbablity)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat image,
                                                           @ByVal
                                                           GpuMat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects)

erGrouping

@Namespace(value="cv::text")
public static void erGrouping(@ByVal
                                                           GpuMat image,
                                                           @ByVal
                                                           GpuMat channel,
                                                           @ByVal
                                                           PointVectorVector regions,
                                                           @ByRef
                                                           RectVector groups_rects,
                                                           int method,
                                                           @opencv_core.Str
                                                           String filename,
                                                           float minProbablity)

MSERsToERStats

@Namespace(value="cv::text")
public static void MSERsToERStats(@ByVal
                                                               Mat image,
                                                               @ByRef
                                                               PointVectorVector contours,
                                                               @ByRef
                                                               ERStatVectorVector regions)

\brief Converts MSER contours (vector\) to ERStat regions.

Parameters:

image - Source image CV_8UC1 from which the MSERs where extracted.

contours - Input vector with all the contours (vector\).

regions - Output where the ERStat regions are stored.

It takes as input the contours provided by the OpenCV MSER feature detector and returns as output two vectors of ERStats. This is because MSER() output contains both MSER+ and MSER- regions in a single vector\, the function separates them in two different vectors (this is as if the ERStats where extracted from two different channels).

An example of MSERsToERStats in use can be found in the text detection webcam_demo:

MSERsToERStats

@Namespace(value="cv::text")
public static void MSERsToERStats(@ByVal
                                                               UMat image,
                                                               @ByRef
                                                               PointVectorVector contours,
                                                               @ByRef
                                                               ERStatVectorVector regions)

MSERsToERStats

@Namespace(value="cv::text")
public static void MSERsToERStats(@ByVal
                                                               GpuMat image,
                                                               @ByRef
                                                               PointVectorVector contours,
                                                               @ByRef
                                                               ERStatVectorVector regions)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              Mat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              PointVectorVector regions)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              UMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              PointVectorVector regions)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              GpuMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              PointVectorVector regions)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              Mat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects,
                                                              int method,
                                                              @opencv_core.Str
                                                              BytePointer filename,
                                                              float minProbability)

\brief Extracts text regions from image.

Parameters:

image - Source image where text blocks needs to be extracted from. Should be CV_8UC3 (color).

er_filter1 - Extremal Region Filter for the 1st stage classifier of N&M algorithm \cite Neumann12

er_filter2 - Extremal Region Filter for the 2nd stage classifier of N&M algorithm \cite Neumann12

groups_rects - Output list of rectangle blocks with text

method - Grouping method (see text::erGrouping_Modes). Can be one of ERGROUPING_ORIENTATION_HORIZ, ERGROUPING_ORIENTATION_ANY.

filename - The XML or YAML file with the classifier model (e.g. samples/trained_classifier_erGrouping.xml). Only to use when grouping method is ERGROUPING_ORIENTATION_ANY.

minProbability - The minimum probability for accepting a group. Only to use when grouping method is ERGROUPING_ORIENTATION_ANY.

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              Mat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              Mat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects,
                                                              int method,
                                                              @opencv_core.Str
                                                              String filename,
                                                              float minProbability)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              UMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects,
                                                              int method,
                                                              @opencv_core.Str
                                                              String filename,
                                                              float minProbability)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              UMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              UMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects,
                                                              int method,
                                                              @opencv_core.Str
                                                              BytePointer filename,
                                                              float minProbability)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              GpuMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects,
                                                              int method,
                                                              @opencv_core.Str
                                                              BytePointer filename,
                                                              float minProbability)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              GpuMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects)

detectRegions

@Namespace(value="cv::text")
public static void detectRegions(@ByVal
                                                              GpuMat image,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter1,
                                                              @opencv_core.Ptr
                                                              ERFilter er_filter2,
                                                              @ByRef
                                                              RectVector groups_rects,
                                                              int method,
                                                              @opencv_core.Str
                                                              String filename,
                                                              float minProbability)

loadOCRHMMClassifierNM
```
@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRHMMDecoder.ClassifierCallback loadOCRHMMClassifierNM(@opencv_core.Str
                                                                                                                     BytePointer filename)
```
Deprecated. loadOCRHMMClassifier instead

\brief Allow to implicitly load the default character classifier when creating an OCRHMMDecoder object.

Parameters:

filename - The XML or YAML file with the classifier model (e.g. OCRHMM_knn_model_data.xml)
The KNN default classifier is based in the scene text recognition method proposed by Luk??s Neumann & Jiri Matas in [Neumann11b]. Basically, the region (contour) in the input image is normalized to a fixed size, while retaining the centroid and aspect ratio, in order to extract a feature vector based on gradient orientations along the chain-code of its perimeter. Then, the region is classified using a KNN model trained with synthetic data of rendered characters with different standard font types.

loadOCRHMMClassifierNM

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRHMMDecoder.ClassifierCallback loadOCRHMMClassifierNM(@opencv_core.Str
                                                                                                                     String filename)

loadOCRHMMClassifierCNN
```
@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRHMMDecoder.ClassifierCallback loadOCRHMMClassifierCNN(@opencv_core.Str
                                                                                                                      BytePointer filename)
```
Deprecated. use loadOCRHMMClassifier instead

\brief Allow to implicitly load the default character classifier when creating an OCRHMMDecoder object.

Parameters:

filename - The XML or YAML file with the classifier model (e.g. OCRBeamSearch_CNN_model_data.xml.gz)
The CNN default classifier is based in the scene text recognition method proposed by Adam Coates & Andrew NG in [Coates11a]. The character classifier consists in a Single Layer Convolutional Neural Network and a linear classifier. It is applied to the input image in a sliding window fashion, providing a set of recognitions at each window location.

loadOCRHMMClassifierCNN

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRHMMDecoder.ClassifierCallback loadOCRHMMClassifierCNN(@opencv_core.Str
                                                                                                                      String filename)

loadOCRHMMClassifier

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRHMMDecoder.ClassifierCallback loadOCRHMMClassifier(@opencv_core.Str
                                                                                                                   BytePointer filename,
                                                                                                                   int classifier)

\brief Allow to implicitly load the default character classifier when creating an OCRHMMDecoder object.

Parameters:: filename - The XML or YAML file with the classifier model (e.g. OCRBeamSearch_CNN_model_data.xml.gz); classifier - Can be one of classifier_type enum values.

loadOCRHMMClassifier

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRHMMDecoder.ClassifierCallback loadOCRHMMClassifier(@opencv_core.Str
                                                                                                                   String filename,
                                                                                                                   int classifier)

createOCRHMMTransitionsTable

@Namespace(value="cv::text")
public static void createOCRHMMTransitionsTable(@StdString @ByRef
                                                                             BytePointer vocabulary,
                                                                             @ByRef
                                                                             StringVector lexicon,
                                                                             @ByVal
                                                                             Mat transition_probabilities_table)

/** \brief Utility function to create a tailored language model transitions table from a given list of words (lexicon).

Parameters:: vocabulary - The language vocabulary (chars when ASCII English text).; lexicon - The list of words that are expected to be found in a particular image.; transition_probabilities_table - Output table with transition probabilities between character pairs. cols == rows == vocabulary.size(). The function calculate frequency statistics of character pairs from the given lexicon and fills the output transition_probabilities_table with them. The transition_probabilities_table can be used as input in the OCRHMMDecoder::create() and OCRBeamSearchDecoder::create() methods. \note - (C++) An alternative would be to load the default generic language transition table provided in the text module samples folder (created from ispell 42869 english words list) :

createOCRHMMTransitionsTable

@Namespace(value="cv::text")
public static void createOCRHMMTransitionsTable(@StdString @ByRef
                                                                             BytePointer vocabulary,
                                                                             @ByRef
                                                                             StringVector lexicon,
                                                                             @ByVal
                                                                             UMat transition_probabilities_table)

createOCRHMMTransitionsTable

@Namespace(value="cv::text")
public static void createOCRHMMTransitionsTable(@StdString @ByRef
                                                                             BytePointer vocabulary,
                                                                             @ByRef
                                                                             StringVector lexicon,
                                                                             @ByVal
                                                                             GpuMat transition_probabilities_table)

createOCRHMMTransitionsTable

@Namespace(value="cv::text")
 @ByVal
public static Mat createOCRHMMTransitionsTable(@opencv_core.Str
                                                                                    BytePointer vocabulary,
                                                                                    @ByRef
                                                                                    StringVector lexicon)

createOCRHMMTransitionsTable

@Namespace(value="cv::text")
 @ByVal
public static Mat createOCRHMMTransitionsTable(@opencv_core.Str
                                                                                    String vocabulary,
                                                                                    @ByRef
                                                                                    StringVector lexicon)

loadOCRBeamSearchClassifierCNN
```
@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRBeamSearchDecoder.ClassifierCallback loadOCRBeamSearchClassifierCNN(@opencv_core.Str
                                                                                                                                    BytePointer filename)
```
\brief Allow to implicitly load the default character classifier when creating an OCRBeamSearchDecoder object.

Parameters:

filename - The XML or YAML file with the classifier model (e.g. OCRBeamSearch_CNN_model_data.xml.gz)
The CNN default classifier is based in the scene text recognition method proposed by Adam Coates & Andrew NG in [Coates11a]. The character classifier consists in a Single Layer Convolutional Neural Network and a linear classifier. It is applied to the input image in a sliding window fashion, providing a set of recognitions at each window location.

loadOCRBeamSearchClassifierCNN

@Namespace(value="cv::text")
 @opencv_core.Ptr
public static OCRBeamSearchDecoder.ClassifierCallback loadOCRBeamSearchClassifierCNN(@opencv_core.Str
                                                                                                                                    String filename)

Class opencv_text

Field Summary

Constructor Summary

Method Summary

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

Methods inherited from class java.lang.Object

Field Detail

ERFILTER_NM_RGBLGrad

ERFILTER_NM_IHSGrad

ERGROUPING_ORIENTATION_HORIZ

ERGROUPING_ORIENTATION_ANY

OCR_LEVEL_WORD

OCR_LEVEL_TEXTLINE

PSM_OSD_ONLY

PSM_AUTO_OSD

PSM_AUTO_ONLY

PSM_AUTO

PSM_SINGLE_COLUMN

PSM_SINGLE_BLOCK_VERT_TEXT

PSM_SINGLE_BLOCK

PSM_SINGLE_LINE

PSM_SINGLE_WORD

PSM_CIRCLE_WORD

PSM_SINGLE_CHAR

OEM_TESSERACT_ONLY

OEM_CUBE_ONLY

OEM_TESSERACT_CUBE_COMBINED

OEM_DEFAULT

OCR_DECODER_VITERBI

OCR_KNN_CLASSIFIER

OCR_CNN_CLASSIFIER

Constructor Detail

opencv_text

Method Detail

createERFilterNM1

createERFilterNM1

createERFilterNM2

createERFilterNM2

createERFilterNM1

createERFilterNM1

createERFilterNM1

createERFilterNM1

createERFilterNM2

createERFilterNM2

createERFilterNM2

createERFilterNM2

loadClassifierNM1

loadClassifierNM1

loadClassifierNM2

loadClassifierNM2

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

computeNMChannels

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping

erGrouping