OpenCV  3.2.0
Open Source Computer Vision
Public Member Functions | List of all members
cv::ximgproc::RFFeatureGetter Class Referenceabstract

#include "structured_edge_detection.hpp"

Inheritance diagram for cv::ximgproc::RFFeatureGetter:

Public Member Functions

virtual void getFeatures (const Mat &src, Mat &features, const int gnrmRad, const int gsmthRad, const int shrink, const int outNum, const int gradNum) const =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...

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

Helper class for training part of [P. Dollar and C. L. Zitnick. Structured Forests for Fast Edge Detection, 2013].

Member Function Documentation

§ getFeatures()

virtual void cv::ximgproc::RFFeatureGetter::getFeatures ( const Mat src,
Mat features,
const int  gnrmRad,
const int  gsmthRad,
const int  shrink,
const int  outNum,
const int  gradNum 
) const
pure virtual

This functions extracts feature channels from src. Than StructureEdgeDetection uses this feature space to detect edges.

src: source image to extract features
features: output n-channel floating point feature matrix.
gnrmRad: __rf.options.gradientNormalizationRadius
gsmthRad: __rf.options.gradientSmoothingRadius
shrink: __rf.options.shrinkNumber
outNum: __rf.options.numberOfOutputChannels
gradNum: __rf.options.numberOfGradientOrientations

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