| OpenCV 5.0.0alpha Open Source Computer Vision

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Public Member Functions | Protected Member Functions | List of all members
cv::saliency::StaticSaliency Class Referenceabstract
Saliency API

`#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
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 )
| protected pure virtual

Implements cv::saliency::Saliency.

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

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

- opencv2/saliency/saliencyBaseClasses.hpp