Strategie for the selective search segmentation algorithm The class implements a generic stragery for the algorithm described in. More...

#include <opencv2/ximgproc/segmentation.hpp>

Inheritance diagram for cv::ximgproc::segmentation::SelectiveSearchSegmentationStrategy:

Public Member Functions
virtual float	get (int r1, int r2)=0
	Return the score between two regions (between 0 and 1)

virtual void	merge (int r1, int r2)=0
	Inform the strategy that two regions will be merged.

virtual void	setImage (InputArray img, InputArray regions, InputArray sizes, int image_id=-1)=0
	Set a initial image, with a segementation.

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.

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

Strategie for the selective search segmentation algorithm The class implements a generic stragery for the algorithm described in.

Member Function Documentation

virtual float cv::ximgproc::segmentation::SelectiveSearchSegmentationStrategy::get	(	int	r1,
		int	r2
	)

pure virtual

Python:
	retval	=	cv.ximgproc_segmentation_SelectiveSearchSegmentationStrategy.get(	r1, r2	)

Return the score between two regions (between 0 and 1)

Parameters

r1	The first region
r2	The second region

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentationStrategy::merge	(	int	r1,
		int	r2
	)

pure virtual

Python:
	None	=	cv.ximgproc_segmentation_SelectiveSearchSegmentationStrategy.merge(	r1, r2	)

Inform the strategy that two regions will be merged.

Parameters

r1	The first region
r2	The second region

virtual void cv::ximgproc::segmentation::SelectiveSearchSegmentationStrategy::setImage	(	InputArray	img,
		InputArray	regions,
		InputArray	sizes,
		int	image_id = `-1`
	)

pure virtual

Python:
	None	=	cv.ximgproc_segmentation_SelectiveSearchSegmentationStrategy.setImage(	img, regions, sizes[, image_id]	)

Set a initial image, with a segementation.

Parameters

img	The input image. Any number of channel can be provided
regions	A segementation of the image. The parameter must be the same size of img.
sizes	The sizes of different regions
image_id	If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.

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