org.bytedeco.opencv.global

Class opencv_intensity_transform

java.lang.Object

org.bytedeco.opencv.presets.opencv_intensity_transform

org.bytedeco.opencv.global.opencv_intensity_transform

All Implemented Interfaces:

InfoMapper

public class opencv_intensity_transform
extends opencv_intensity_transform

Constructor Summary

Constructors

Constructor and Description
opencv_intensity_transform()

Method Summary

Modifier and Type	Method and Description
static void	autoscaling(Mat input, Mat output) \brief Given an input bgr or grayscale image, apply autoscaling on domain [0, 255] to increase the contrast of the input image and return the resulting image.
static void	contrastStretching(Mat input, Mat output, int r1, int s1, int r2, int s2) \brief Given an input bgr or grayscale image, apply linear contrast stretching on domain [0, 255] and return the resulting image.
static void	gammaCorrection(Mat input, Mat output, float gamma) \brief Given an input bgr or grayscale image and constant gamma, apply power-law transformation, a.k.a.
static void	logTransform(Mat input, Mat output) \addtogroup intensity_transform \{

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

map

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

opencv_intensity_transform

public opencv_intensity_transform()

Method Detail

logTransform

@Namespace(value="cv::intensity_transform")
public static void logTransform(@Const @ByVal
                                                                            Mat input,
                                                                            @ByRef
                                                                            Mat output)

\addtogroup intensity_transform \{

/** \brief Given an input bgr or grayscale image and constant c, apply log transformation to the image on domain [0, 255] and return the resulting image.

Parameters:

input - input bgr or grayscale image.

output - resulting image of log transformations.

gammaCorrection

@Namespace(value="cv::intensity_transform")
public static void gammaCorrection(@Const @ByVal
                                                                               Mat input,
                                                                               @ByRef
                                                                               Mat output,
                                                                               float gamma)

\brief Given an input bgr or grayscale image and constant gamma, apply power-law transformation, a.k.a. gamma correction to the image on domain [0, 255] and return the resulting image.

Parameters:

input - input bgr or grayscale image.

output - resulting image of gamma corrections.

gamma - constant in c*r^gamma where r is pixel value.

autoscaling

@Namespace(value="cv::intensity_transform")
public static void autoscaling(@Const @ByVal
                                                                           Mat input,
                                                                           @ByRef
                                                                           Mat output)

\brief Given an input bgr or grayscale image, apply autoscaling on domain [0, 255] to increase the contrast of the input image and return the resulting image.

Parameters:

input - input bgr or grayscale image.

output - resulting image of autoscaling.

contrastStretching

@Namespace(value="cv::intensity_transform")
public static void contrastStretching(@Const @ByVal
                                                                                  Mat input,
                                                                                  @ByRef
                                                                                  Mat output,
                                                                                  int r1,
                                                                                  int s1,
                                                                                  int r2,
                                                                                  int s2)

\brief Given an input bgr or grayscale image, apply linear contrast stretching on domain [0, 255] and return the resulting image.

Parameters:

input - input bgr or grayscale image.

output - resulting image of contrast stretching.

r1 - x coordinate of first point (r1, s1) in the transformation function.

s1 - y coordinate of first point (r1, s1) in the transformation function.

r2 - x coordinate of second point (r2, s2) in the transformation function.

s2 - y coordinate of second point (r2, s2) in the transformation function.