OpenCV  3.4.20-dev
Open Source Computer Vision
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cv::ximgproc::GuidedFilter Class Referenceabstract

Interface for realizations of Guided Filter. More...

#include <opencv2/ximgproc/edge_filter.hpp>

Inheritance diagram for cv::ximgproc::GuidedFilter:
cv::Algorithm

Public Member Functions

virtual void filter (InputArray src, OutputArray dst, int dDepth=-1)=0
 Apply Guided Filter to the filtering image. More...
 
- 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...
 
void write (FileStorage &fs, const String &name) const
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) 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. 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...
 
- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Interface for realizations of Guided Filter.

For more details about this filter see [99] .

Member Function Documentation

◆ filter()

virtual void cv::ximgproc::GuidedFilter::filter ( InputArray  src,
OutputArray  dst,
int  dDepth = -1 
)
pure virtual
Python:
cv.ximgproc.GuidedFilter.filter(src[, dst[, dDepth]]) -> dst

Apply Guided Filter to the filtering image.

Parameters
srcfiltering image with any numbers of channels.
dstoutput image.
dDepthoptional depth of the output image. dDepth can be set to -1, which will be equivalent to src.depth().

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