OpenCV  3.2.0-dev
Open Source Computer Vision

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

#include "cudaimgproc.hpp"

Inheritance diagram for cv::cuda::CLAHE:
Collaboration diagram for cv::cuda::CLAHE:

Public Member Functions

virtual void apply (InputArray src, OutputArray dst, Stream &stream)=0
 Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram Equalization. More...
 
virtual void apply (InputArray src, OutputArray dst)=0
 
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
 
virtual String getDefaultName () const
 Returns the algorithm string identifier. More...
 
virtual Size getTilesGridSize () const =0
 
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
 
virtual void setTilesGridSize (Size tileGridSize)=0
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage. 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.

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Member Function Documentation

virtual void cv::cuda::CLAHE::apply ( InputArray  src,
OutputArray  dst,
Stream stream 
)
pure virtual

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

Parameters
srcSource image with CV_8UC1 type.
dstDestination image.
streamStream for the asynchronous version.
virtual void cv::CLAHE::apply ( InputArray  src,
OutputArray  dst 
)
pure virtualinherited
virtual void cv::Algorithm::clear ( )
inlinevirtualinherited

Clears the algorithm state.

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

virtual void cv::CLAHE::collectGarbage ( )
pure virtualinherited
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, cv::BaseCascadeClassifier, and cv::cuda::DescriptorMatcher.

virtual double cv::CLAHE::getClipLimit ( ) const
pure virtualinherited
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.

virtual Size cv::CLAHE::getTilesGridSize ( ) const
pure virtualinherited
template<typename _Tp >
static Ptr<_Tp> cv::Algorithm::load ( const String filename,
const String objname = String() 
)
inlinestaticinherited

Loads algorithm from the file.

Parameters
filenameName of the file to read.
objnameThe 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::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), and cv::FileStorage::READ.

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template<typename _Tp >
static Ptr<_Tp> cv::Algorithm::loadFromString ( const String strModel,
const String objname = String() 
)
inlinestaticinherited

Loads algorithm from a String.

Parameters
strModelThe string variable containing the model you want to load.
objnameThe 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::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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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.

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)

References cv::Ptr< T >::empty().

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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).

virtual void cv::CLAHE::setClipLimit ( double  clipLimit)
pure virtualinherited
virtual void cv::CLAHE::setTilesGridSize ( Size  tileGridSize)
pure virtualinherited
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.

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

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