OpenCV  4.10.0-dev
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cv::saliency::StaticSaliencyFineGrained Class Reference

the Fine Grained Saliency approach from [197] More...

#include <opencv2/saliency/saliencySpecializedClasses.hpp>

Collaboration diagram for cv::saliency::StaticSaliencyFineGrained:

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
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

Static Public Member Functions

static Ptr< StaticSaliencyFineGrainedcreate ()
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.

Protected Member Functions

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

Additional Inherited Members

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

Detailed Description

the Fine Grained Saliency approach from [197]

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

◆ StaticSaliencyFineGrained()

cv::saliency::StaticSaliencyFineGrained::StaticSaliencyFineGrained ( )

◆ ~StaticSaliencyFineGrained()

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

Member Function Documentation

◆ computeSaliency()

bool cv::saliency::StaticSaliencyFineGrained::computeSaliency ( InputArray  image,
OutputArray  saliencyMap 
cv.saliency.StaticSaliencyFineGrained.computeSaliency(image[, saliencyMap]) -> retval, saliencyMap
Here is the call graph for this function:

◆ computeSaliencyImpl()

bool cv::saliency::StaticSaliencyFineGrained::computeSaliencyImpl ( InputArray  image,
OutputArray  saliencyMap 

◆ create()

static Ptr< StaticSaliencyFineGrained > cv::saliency::StaticSaliencyFineGrained::create ( )
cv.saliency.StaticSaliencyFineGrained.create() -> retval
cv.saliency.StaticSaliencyFineGrained_create() -> retval

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