cv::saliency::StaticSaliencyFineGrained Class Reference

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

#include <opencv2/saliency/saliencySpecializedClasses.hpp>

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 [FGS]

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

computeSaliencyImpl()

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

protectedvirtual

Implements cv::saliency::StaticSaliency.

create()

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

inlinestatic

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

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

• opencv2/saliency/saliencySpecializedClasses.hpp