OpenCV  4.1.0
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | Protected Member Functions | List of all members
cv::saliency::StaticSaliencyFineGrained Class Reference

the Fine Grained Saliency approach from More...

#include <opencv2/saliency/saliencySpecializedClasses.hpp>

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

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 ()
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.

Static Public Member Functions

static Ptr
< StaticSaliencyFineGrained
create ()

Protected Member Functions

bool computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE

Additional Inherited Members

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

Detailed Description

the Fine Grained Saliency approach from


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

cv::saliency::StaticSaliencyFineGrained::StaticSaliencyFineGrained ( )
virtual cv::saliency::StaticSaliencyFineGrained::~StaticSaliencyFineGrained ( )

Member Function Documentation

bool cv::saliency::StaticSaliencyFineGrained::computeSaliency ( InputArray  image,
OutputArray  saliencyMap 
retval, saliencyMap=cv.saliency_StaticSaliencyFineGrained.computeSaliency(image[, saliencyMap])
bool cv::saliency::StaticSaliencyFineGrained::computeSaliencyImpl ( InputArray  image,
OutputArray  saliencyMap 
static Ptr<StaticSaliencyFineGrained> cv::saliency::StaticSaliencyFineGrained::create ( )

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