cv::ximgproc::AdaptiveManifoldFilter Class Reference

Interface for Adaptive Manifold Filter realizations. More...

#include <opencv2/ximgproc/edge_filter.hpp>

Collaboration diagram for cv::ximgproc::AdaptiveManifoldFilter:

Public Member Functions
virtual void	collectGarbage ()=0
virtual void	filter (InputArray src, OutputArray dst, InputArray joint=noArray())=0
	Apply high-dimensional filtering using adaptive manifolds.
virtual bool	getAdjustOutliers () const =0
virtual int	getPCAIterations () const =0
virtual double	getSigmaR () const =0
virtual double	getSigmaS () const =0
virtual int	getTreeHeight () const =0
virtual bool	getUseRNG () const =0
virtual void	setAdjustOutliers (bool val)=0
virtual void	setPCAIterations (int val)=0
virtual void	setSigmaR (double val)=0
virtual void	setSigmaS (double val)=0
virtual void	setTreeHeight (int val)=0
virtual void	setUseRNG (bool val)=0
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 (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< AdaptiveManifoldFilter >	create ()
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.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Interface for Adaptive Manifold Filter realizations.

For more details about this filter see [105] and References_.

Below listed optional parameters which may be set up with Algorithm::set function.

• member double sigma_s = 16.0 Spatial standard deviation.
• member double sigma_r = 0.2 Color space standard deviation.
• member int tree_height = -1 Height of the manifold tree (default = -1 : automatically computed).
• member int num_pca_iterations = 1 Number of iterations to computed the eigenvector.
• member bool adjust_outliers = false Specify adjust outliers using Eq. 9 or not.
• member bool use_RNG = true Specify use random number generator to compute eigenvector or not.

Member Function Documentation

collectGarbage()

virtual void cv::ximgproc::AdaptiveManifoldFilter::collectGarbage ( )

pure virtual

Python:
	cv.ximgproc.AdaptiveManifoldFilter.collectGarbage(		) ->	None

create()

static Ptr< AdaptiveManifoldFilter > cv::ximgproc::AdaptiveManifoldFilter::create ( )

static

Python:
	cv.ximgproc.AdaptiveManifoldFilter.create(		) ->	retval
	cv.ximgproc.AdaptiveManifoldFilter_create(		) ->	retval

filter()

virtual void cv::ximgproc::AdaptiveManifoldFilter::filter ( InputArray src, OutputArray dst, InputArray joint = noArray() )

pure virtual

Python:
	cv.ximgproc.AdaptiveManifoldFilter.filter(	src[, dst[, joint]]	) ->	dst

Apply high-dimensional filtering using adaptive manifolds.

Parameters

src	filtering image with any numbers of channels.
dst	output image.
joint	optional joint (also called as guided) image with any numbers of channels.

Here is the call graph for this function:

getAdjustOutliers()

virtual bool cv::ximgproc::AdaptiveManifoldFilter::getAdjustOutliers ( ) const

pure virtual

See also

setAdjustOutliers

getPCAIterations()

virtual int cv::ximgproc::AdaptiveManifoldFilter::getPCAIterations ( ) const

pure virtual

See also

setPCAIterations

getSigmaR()

virtual double cv::ximgproc::AdaptiveManifoldFilter::getSigmaR ( ) const

pure virtual

See also

setSigmaR

getSigmaS()

virtual double cv::ximgproc::AdaptiveManifoldFilter::getSigmaS ( ) const

pure virtual

See also

setSigmaS

getTreeHeight()

virtual int cv::ximgproc::AdaptiveManifoldFilter::getTreeHeight ( ) const

pure virtual

See also

setTreeHeight

getUseRNG()

virtual bool cv::ximgproc::AdaptiveManifoldFilter::getUseRNG ( ) const

pure virtual

See also

setUseRNG

setAdjustOutliers()

virtual void cv::ximgproc::AdaptiveManifoldFilter::setAdjustOutliers ( bool val )

pure virtual

See also

getAdjustOutliers

setPCAIterations()

virtual void cv::ximgproc::AdaptiveManifoldFilter::setPCAIterations ( int val )

pure virtual

See also

getPCAIterations

setSigmaR()

virtual void cv::ximgproc::AdaptiveManifoldFilter::setSigmaR ( double val )

pure virtual

See also

getSigmaR

setSigmaS()

virtual void cv::ximgproc::AdaptiveManifoldFilter::setSigmaS ( double val )

pure virtual

See also

getSigmaS

setTreeHeight()

virtual void cv::ximgproc::AdaptiveManifoldFilter::setTreeHeight ( int val )

pure virtual

See also

getTreeHeight

setUseRNG()

virtual void cv::ximgproc::AdaptiveManifoldFilter::setUseRNG ( bool val )

pure virtual

See also

getUseRNG

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

• opencv2/ximgproc/edge_filter.hpp