OpenCV  4.1.0
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:
- Public Member Functions inherited from cv::saliency::Saliency
virtual ~Saliency ()
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
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage.
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Protected Member Functions

virtual bool computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE=0

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

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

_saliencyMapthe saliency map obtained through one of the specialized algorithms
_binaryMapthe binary map
virtual bool cv::saliency::StaticSaliency::computeSaliencyImpl ( InputArray  image,
OutputArray  saliencyMap 
protectedpure virtual

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