OpenCV 4.10.0-dev
Open Source Computer Vision
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cv::ximgproc::FastBilateralSolverFilter Class Referenceabstract

Interface for implementations of Fast Bilateral Solver. More...

#include <opencv2/ximgproc/edge_filter.hpp>

Collaboration diagram for cv::ximgproc::FastBilateralSolverFilter:

Public Member Functions

virtual void filter (InputArray src, InputArray confidence, OutputArray dst)=0
 Apply smoothing operation to the source image.
 
- 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< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.
 
- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Interface for implementations of Fast Bilateral Solver.

For more details about this solver see [19] .

Member Function Documentation

◆ filter()

virtual void cv::ximgproc::FastBilateralSolverFilter::filter ( InputArray src,
InputArray confidence,
OutputArray dst )
pure virtual
Python:
cv.ximgproc.FastBilateralSolverFilter.filter(src, confidence[, dst]) -> dst

Apply smoothing operation to the source image.

Parameters
srcsource image for filtering with unsigned 8-bit or signed 16-bit or floating-point 32-bit depth and up to 3 channels.
confidenceconfidence image with unsigned 8-bit or floating-point 32-bit confidence and 1 channel.
dstdestination image.
Note
Confidence images with CV_8U depth are expected to in [0, 255] and CV_32F in [0, 1] range.

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