Class cv::saliency::StaticSaliencyFineGrained#

the Fine Grained Saliency approach from [220] View details

#include <opencv2/saliency/saliencySpecializedClasses.hpp>

Collaboration diagram for cv::saliency::StaticSaliencyFineGrained:

Public Member Functions#

Public Member Functions inherited from cv::saliency::StaticSaliency

Return	Name	Description
`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

Return	Name	Description
	`~Saliency()`	Destructor.
`bool`	`computeSaliency(` `InputArray image,` `OutputArray saliencyMap )`	Compute the saliency.

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

Detailed Description#

the Fine Grained Saliency approach from FGS

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()#

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

Member Function Documentation#

computeSaliency()#

bool cv::saliency::StaticSaliencyFineGrained::computeSaliency(
InputArray image,
OutputArray saliencyMap )

Python:

cv.saliency.StaticSaliencyFineGrained.computeSaliency(image[, saliencyMap]) -> retval, saliencyMap

Here is the call graph for this function:

create()#

static Ptr< StaticSaliencyFineGrained > cv::saliency::StaticSaliencyFineGrained::create()

Python:

cv.saliency.StaticSaliencyFineGrained.create() -> retval

cv.saliency.StaticSaliencyFineGrained_create() -> retval

computeSaliencyImpl()#

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

calcIntensityChannel()#

void cv::saliency::StaticSaliencyFineGrained::calcIntensityChannel(
Mat src,
Mat dst )

copyImage()#

void cv::saliency::StaticSaliencyFineGrained::copyImage(
Mat src,
Mat dst )

getIntensity()#

void cv::saliency::StaticSaliencyFineGrained::getIntensity(
Mat srcArg,
Mat dstArg,
Mat dstOnArg,
Mat dstOffArg,
bool generateOnOff )

getIntensityScaled()#

void cv::saliency::StaticSaliencyFineGrained::getIntensityScaled(
Mat integralImage,
Mat gray,
Mat saliencyOn,
Mat saliencyOff,
int neighborhood )

getMean()#

float cv::saliency::StaticSaliencyFineGrained::getMean(
Mat srcArg,
Point2i PixArg,
int neighbourhood,
int centerVal )

mixOnOff()#

void cv::saliency::StaticSaliencyFineGrained::mixOnOff(
Mat intensityOn,
Mat intensityOff,
Mat intensity )

mixScales()#

void cv::saliency::StaticSaliencyFineGrained::mixScales(
Mat * saliencyOn,
Mat intensityOn,
Mat * saliencyOff,
Mat intensityOff,
const int numScales )

Source file#

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

opencv2/saliency/saliencySpecializedClasses.hpp