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

#include <opencv2/imgproc.hpp>

Inheritance diagram for cv::CLAHE:

Collaboration 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. More...

virtual void	clear ()
	Clears the algorithm state. More...

virtual void	collectGarbage ()=0

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. More...

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

virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...

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

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

virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...

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

virtual void	setTilesGridSize (Size tileGridSize)=0
	Sets size of grid for histogram equalization. More...

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

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

Static Public Member Functions
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...

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

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

Protected Member Functions
void	writeFormat (FileStorage &fs) const

Detailed Description

Base class for Contrast Limited Adaptive Histogram Equalization.

Member Function Documentation

◆ apply()

virtual void cv::CLAHE::apply	(	InputArray	src,
		OutputArray	dst
	)

pure virtual

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.

◆ clear()

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, and cv::DescriptorMatcher.

◆ collectGarbage()

virtual void cv::CLAHE::collectGarbage ( )

pure virtual

◆ empty()

virtual bool cv::Algorithm::empty ( ) const

inlinevirtualinherited

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in cv::DescriptorMatcher, cv::ml::StatModel, cv::Feature2D, and cv::BaseCascadeClassifier.

◆ getClipLimit()

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

pure virtual

Returns threshold value for contrast limiting.

◆ getDefaultName()

virtual String cv::Algorithm::getDefaultName ( ) const

virtualinherited

Returns the algorithm string identifier.

This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented in cv::AKAZE, cv::KAZE, cv::SimpleBlobDetector, cv::GFTTDetector, cv::AgastFeatureDetector, cv::FastFeatureDetector, cv::MSER, cv::ORB, cv::BRISK, and cv::Feature2D.

◆ getTilesGridSize()

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

pure virtual

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

◆ load()

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::load	(	const String &	filename,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from the file.

Parameters

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References CV_Assert, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::isOpened(), and cv::FileStorage::READ.

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◆ loadFromString()

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::loadFromString	(	const String &	strModel,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from a String.

Parameters

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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◆ read() [1/2]

virtual void cv::Algorithm::read ( const FileNode & fn )

inlinevirtualinherited

Reads algorithm parameters from a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

◆ read() [2/2]

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::read ( const FileNode & fn )

inlinestaticinherited

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

cv::FileStorage fsRead("example.xml", FileStorage::READ);

Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

◆ save()

virtual void cv::Algorithm::save ( const String & filename ) const

virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

◆ setClipLimit()

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

pure virtual

Sets threshold for contrast limiting.

Parameters

clipLimit threshold value.

◆ setTilesGridSize()

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

pure virtual

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.

◆ write() [1/2]

virtual void cv::Algorithm::write ( FileStorage & fs ) const

inlinevirtualinherited

Stores algorithm parameters in a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

References CV_WRAP.

Referenced by cv::Feature2D::write(), and cv::DescriptorMatcher::write().

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◆ write() [2/2]

void cv::Algorithm::write	(	const Ptr< FileStorage > &	fs,
		const String &	name = `String()`
	)		const

inherited

simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

◆ writeFormat()

void cv::Algorithm::writeFormat ( FileStorage & fs ) const

protectedinherited

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

opencv2/imgproc.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation

◆ apply()

◆ clear()

◆ collectGarbage()

◆ empty()

◆ getClipLimit()

◆ getDefaultName()

◆ getTilesGridSize()

◆ load()

◆ loadFromString()

◆ read() [1/2]

◆ read() [2/2]

◆ save()

◆ setClipLimit()

◆ setTilesGridSize()

◆ write() [1/2]

◆ write() [2/2]

◆ writeFormat()