OpenCV  3.4.13-pre
Open Source Computer Vision
Public Member Functions | Protected Member Functions | List of all members
cv::saliency::StaticSaliency Class Referenceabstract

#include <opencv2/saliency/saliencyBaseClasses.hpp>

Inheritance diagram for cv::saliency::StaticSaliency:
cv::saliency::Saliency cv::Algorithm cv::saliency::StaticSaliencyFineGrained cv::saliency::StaticSaliencySpectralResidual

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: More...
 
- Public Member Functions inherited from cv::saliency::Saliency
virtual ~Saliency ()
 Destructor. More...
 
bool computeSaliency (InputArray image, OutputArray saliencyMap)
 Compute the saliency. More...
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
 
virtual void save (const String &filename) const
 
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...
 

Protected Member Functions

virtual bool computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE=0
 
- 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. 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 Attributes inherited from cv::saliency::Saliency
String className
 

Member Function Documentation

◆ computeBinaryMap()

bool cv::saliency::StaticSaliency::computeBinaryMap ( InputArray  _saliencyMap,
OutputArray  _binaryMap 
)
Python:
retval, _binaryMap=cv.saliency_StaticSaliency.computeBinaryMap(_saliencyMap[, _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
_saliencyMapthe saliency map obtained through one of the specialized algorithms
_binaryMapthe binary map

◆ computeSaliencyImpl()

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

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