cv::ximgproc::segmentation::SelectiveSearchSegmentation Class Reference

Selective search segmentation algorithm The class implements the algorithm described in [277]. More...

#include <opencv2/ximgproc/segmentation.hpp>

Collaboration diagram for cv::ximgproc::segmentation::SelectiveSearchSegmentation:

Public Member Functions
virtual void	addGraphSegmentation (Ptr< GraphSegmentation > g)=0
	Add a new graph segmentation in the list of graph segementations to process.
virtual void	addImage (InputArray img)=0
	Add a new image in the list of images to process.
virtual void	addStrategy (Ptr< SelectiveSearchSegmentationStrategy > s)=0
	Add a new strategy in the list of strategy to process.
virtual void	clearGraphSegmentations ()=0
	Clear the list of graph segmentations to process;.
virtual void	clearImages ()=0
	Clear the list of images to process.
virtual void	clearStrategies ()=0
	Clear the list of strategy to process;.
virtual void	process (std::vector< Rect > &rects)=0
	Based on all images, graph segmentations and stragies, computes all possible rects and return them.
virtual void	setBaseImage (InputArray img)=0
	Set a image used by switch* functions to initialize the class.
virtual void	switchToSelectiveSearchFast (int base_k=150, int inc_k=150, float sigma=0.8f)=0
	Initialize the class with the 'Selective search fast' parameters describled in [277].
virtual void	switchToSelectiveSearchQuality (int base_k=150, int inc_k=150, float sigma=0.8f)=0
	Initialize the class with the 'Selective search fast' parameters describled in [277].
virtual void	switchToSingleStrategy (int k=200, float sigma=0.8f)=0
	Initialize the class with the 'Single stragegy' parameters describled in [277].
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

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 Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Selective search segmentation algorithm The class implements the algorithm described in [277].

Member Function Documentation

addGraphSegmentation()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::addGraphSegmentation ( Ptr< GraphSegmentation >  g )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.addGraphSegmentation(	g	) ->	None

Add a new graph segmentation in the list of graph segementations to process.

Parameters

g	The graph segmentation

addImage()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::addImage ( InputArray  img )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.addImage(	img	) ->	None

Add a new image in the list of images to process.

Parameters

img

The image

addStrategy()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::addStrategy ( Ptr< SelectiveSearchSegmentationStrategy >  s )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.addStrategy(	s	) ->	None

Add a new strategy in the list of strategy to process.

Parameters

s	The strategy

clearGraphSegmentations()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::clearGraphSegmentations ( )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.clearGraphSegmentations(		) ->	None

Clear the list of graph segmentations to process;.

clearImages()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::clearImages ( )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.clearImages(		) ->	None

Clear the list of images to process.

clearStrategies()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::clearStrategies ( )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.clearStrategies(		) ->	None

Clear the list of strategy to process;.

process()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::process ( std::vector< Rect > &  rects )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.process(		) ->	rects

Based on all images, graph segmentations and stragies, computes all possible rects and return them.

Parameters

rects

The list of rects. The first ones are more relevents than the lasts ones.

setBaseImage()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::setBaseImage ( InputArray  img )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.setBaseImage(	img	) ->	None

Set a image used by switch* functions to initialize the class.

Parameters

img

The image

switchToSelectiveSearchFast()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::switchToSelectiveSearchFast ( int  base_k = 150, int  inc_k = 150, float  sigma = 0.8f  )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.switchToSelectiveSearchFast(	[, base_k[, inc_k[, sigma]]]	) ->	None

Initialize the class with the 'Selective search fast' parameters describled in [277].

Parameters

base_k	The k parameter for the first graph segmentation
inc_k	The increment of the k parameter for all graph segmentations
sigma	The sigma parameter for the graph segmentation

switchToSelectiveSearchQuality()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::switchToSelectiveSearchQuality ( int  base_k = 150, int  inc_k = 150, float  sigma = 0.8f  )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.switchToSelectiveSearchQuality(	[, base_k[, inc_k[, sigma]]]	) ->	None

Initialize the class with the 'Selective search fast' parameters describled in [277].

Parameters

base_k	The k parameter for the first graph segmentation
inc_k	The increment of the k parameter for all graph segmentations
sigma	The sigma parameter for the graph segmentation

switchToSingleStrategy()

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentation::switchToSingleStrategy ( int  k = 200, float  sigma = 0.8f  )

pure virtual

Python:
	cv.ximgproc.segmentation.SelectiveSearchSegmentation.switchToSingleStrategy(	[, k[, sigma]]	) ->	None

Initialize the class with the 'Single stragegy' parameters describled in [277].

Parameters

k	The k parameter for the graph segmentation
sigma	The sigma parameter for the graph segmentation

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

• opencv2/ximgproc/segmentation.hpp