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cv::ximgproc::AdaptiveManifoldFilter Class Referenceabstract

Interface for Adaptive Manifold Filter realizations. More...

#include "edge_filter.hpp"

Inheritance diagram for cv::ximgproc::AdaptiveManifoldFilter:
cv::Algorithm

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. More...
 
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. More...
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
 
virtual void save (const String &filename) const
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage. More...
 

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. More...
 
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String. More...
 
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node. More...
 

Detailed Description

Interface for Adaptive Manifold Filter realizations.

For more details about this filter see [50] and References_.

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

Member Function Documentation

virtual void cv::ximgproc::AdaptiveManifoldFilter::collectGarbage ( )
pure virtual
static Ptr<AdaptiveManifoldFilter> cv::ximgproc::AdaptiveManifoldFilter::create ( )
static
virtual void cv::ximgproc::AdaptiveManifoldFilter::filter ( InputArray  src,
OutputArray  dst,
InputArray  joint = noArray() 
)
pure virtual

Apply high-dimensional filtering using adaptive manifolds.

Parameters
srcfiltering image with any numbers of channels.
dstoutput image.
jointoptional joint (also called as guided) image with any numbers of channels.
virtual bool cv::ximgproc::AdaptiveManifoldFilter::getAdjustOutliers ( ) const
pure virtual
virtual int cv::ximgproc::AdaptiveManifoldFilter::getPCAIterations ( ) const
pure virtual
virtual double cv::ximgproc::AdaptiveManifoldFilter::getSigmaR ( ) const
pure virtual
See also
setSigmaR
virtual double cv::ximgproc::AdaptiveManifoldFilter::getSigmaS ( ) const
pure virtual
See also
setSigmaS
virtual int cv::ximgproc::AdaptiveManifoldFilter::getTreeHeight ( ) const
pure virtual
See also
setTreeHeight
virtual bool cv::ximgproc::AdaptiveManifoldFilter::getUseRNG ( ) const
pure virtual
See also
setUseRNG
virtual void cv::ximgproc::AdaptiveManifoldFilter::setAdjustOutliers ( bool  val)
pure virtual
virtual void cv::ximgproc::AdaptiveManifoldFilter::setPCAIterations ( int  val)
pure virtual
virtual void cv::ximgproc::AdaptiveManifoldFilter::setSigmaR ( double  val)
pure virtual

See also
getSigmaR
virtual void cv::ximgproc::AdaptiveManifoldFilter::setSigmaS ( double  val)
pure virtual

See also
getSigmaS
virtual void cv::ximgproc::AdaptiveManifoldFilter::setTreeHeight ( int  val)
pure virtual

See also
getTreeHeight
virtual void cv::ximgproc::AdaptiveManifoldFilter::setUseRNG ( bool  val)
pure virtual

See also
getUseRNG

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