Base class for Contrast Limited Adaptive Histogram Equalization. More...

#include <opencv2/imgproc.hpp>

Inheritance diagram for cv::CLAHE:

Public Member Functions
virtual void	apply (InputArray src, OutputArray dst)=0
	Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram Equalization.

virtual void	collectGarbage ()=0

virtual double	getClipLimit () const =0
	Returns threshold value for contrast limiting.

virtual Size	getTilesGridSize () const =0
	Returns Size defines the number of tiles in row and column.

virtual void	setClipLimit (double clipLimit)=0
	Sets threshold for contrast limiting.

virtual void	setTilesGridSize (Size tileGridSize)=0
	Sets size of grid for histogram equalization. Input image will be divided into equally sized rectangular tiles.

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state.

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.

virtual void	save (const String &filename) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Additional Inherited Members
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Base class for Contrast Limited Adaptive Histogram Equalization.

Member Function Documentation

pure virtual

Python:
	dst	=	cv.CLAHE.apply(	src[, dst]	)

Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram Equalization.

Parameters

src	Source image of type CV_8UC1 or CV_16UC1.
dst	Destination image.

virtual void cv::CLAHE::collectGarbage ( )

pure virtual

Python:
	None	=	cv.CLAHE.collectGarbage(		)

virtual double cv::CLAHE::getClipLimit ( ) const

pure virtual

Python:
	retval	=	cv.CLAHE.getClipLimit(		)

Returns threshold value for contrast limiting.

virtual Size cv::CLAHE::getTilesGridSize ( ) const

pure virtual

Python:
	retval	=	cv.CLAHE.getTilesGridSize(		)

Returns Size defines the number of tiles in row and column.

virtual void cv::CLAHE::setClipLimit ( double clipLimit )

pure virtual

Python:
	None	=	cv.CLAHE.setClipLimit(	clipLimit	)

Sets threshold for contrast limiting.

Parameters

clipLimit threshold value.

virtual void cv::CLAHE::setTilesGridSize ( Size tileGridSize )

pure virtual

Python:
	None	=	cv.CLAHE.setTilesGridSize(	tileGridSize	)

Sets size of grid for histogram equalization. Input image will be divided into equally sized rectangular tiles.

Parameters

tileGridSize defines the number of tiles in row and column.

The documentation for this class was generated from the following file: