cv::saliency::StaticSaliency Class Reference

#include <opencv2/saliency/saliencyBaseClasses.hpp>

Collaboration diagram for cv::saliency::StaticSaliency:

Public Member Functions
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

Protected Member Functions
virtual bool	computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE=0
Protected Member Functions inherited from cv::saliency::Saliency
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

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 Attributes inherited from cv::saliency::Saliency
String	className

Member Function Documentation

computeBinaryMap()

bool cv::saliency::StaticSaliency::computeBinaryMap	(	InputArray	_saliencyMap,
		OutputArray	_binaryMap )

Python:
	cv.saliency.StaticSaliency.computeBinaryMap(	_saliencyMap[, _binaryMap]	) ->	retval, _binaryMap

This function perform a binary map of given saliency map. This is obtained in this way:

In a first step, to improve the definition of interest areas and facilitate identification of targets, a segmentation by clustering is performed, using K-means algorithm. Then, to gain a binary representation of clustered saliency map, since values of the map can vary according to the characteristics of frame under analysis, it is not convenient to use a fixed threshold. So, Otsu's algorithm* is used, which assumes that the image to be thresholded contains two classes of pixels or bi-modal histograms (e.g. foreground and back-ground pixels); later on, the algorithm calculates the optimal threshold separating those two classes, so that their intra-class variance is minimal.

Parameters

_saliencyMap	the saliency map obtained through one of the specialized algorithms
_binaryMap	the binary map

computeSaliencyImpl()

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

protectedpure virtual

Implements cv::saliency::Saliency.

Implemented in cv::saliency::StaticSaliencyFineGrained, and cv::saliency::StaticSaliencySpectralResidual.

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

• opencv2/saliency/saliencyBaseClasses.hpp