the Fine Grained Saliency approach from [198] More...

#include <opencv2/saliency/saliencySpecializedClasses.hpp>

Collaboration diagram for cv::saliency::StaticSaliencyFineGrained:

Public Member Functions
	StaticSaliencyFineGrained ()

virtual	~StaticSaliencyFineGrained ()

bool	computeSaliency (InputArray image, OutputArray saliencyMap)

Public Member Functions inherited from cv::saliency::StaticSaliency
bool	computeBinaryMap (InputArray _saliencyMap, OutputArray _binaryMap)
	This function perform a binary map of given saliency map. This is obtained in this way:

Public Member Functions inherited from cv::saliency::Saliency
virtual	~Saliency ()
	Destructor.

bool	computeSaliency (InputArray image, OutputArray saliencyMap)
	Compute the saliency.

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

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

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

void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< StaticSaliencyFineGrained >	create ()

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
bool	computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE

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

Additional Inherited Members
Protected Attributes inherited from cv::saliency::Saliency
String	className

Detailed Description

the Fine Grained Saliency approach from [198]

This method calculates saliency based on center-surround differences. High resolution saliency maps are generated in real time by using integral images.

Constructor & Destructor Documentation

◆ StaticSaliencyFineGrained()

cv::saliency::StaticSaliencyFineGrained::StaticSaliencyFineGrained ( )

◆ ~StaticSaliencyFineGrained()

virtual cv::saliency::StaticSaliencyFineGrained::~StaticSaliencyFineGrained ( )

virtual

Member Function Documentation

◆ computeSaliency()

bool cv::saliency::StaticSaliencyFineGrained::computeSaliency	(	InputArray	image,
		OutputArray	saliencyMap
	)

inline

Python:
	cv.saliency.StaticSaliencyFineGrained.computeSaliency(	image[, saliencyMap]	) ->	retval, saliencyMap

Here is the call graph for this function:

◆ computeSaliencyImpl()

bool cv::saliency::StaticSaliencyFineGrained::computeSaliencyImpl	(	InputArray	image,
		OutputArray	saliencyMap
	)

protectedvirtual

Implements cv::saliency::StaticSaliency.

◆ create()

static Ptr< StaticSaliencyFineGrained > cv::saliency::StaticSaliencyFineGrained::create ( )

inlinestatic

Python:
	cv.saliency.StaticSaliencyFineGrained.create(		) ->	retval
	cv.saliency.StaticSaliencyFineGrained_create(		) ->	retval

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

opencv2/saliency/saliencySpecializedClasses.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members