| OpenCV 4.3.0 Open Source Computer Vision

Public Member Functions | List of all members
cv::ximgproc::RFFeatureGetter Class Referenceabstract
Extended Image Processing » Structured forests for fast edge detection

`#include <opencv2/ximgproc/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...
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const
| simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. 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

Python:
| None | = | cv.ximgproc_RFFeatureGetter.getFeatures( | src, features, gnrmRad, gsmthRad, shrink, outNum, gradNum | )

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

Parameters

  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:

- opencv2/ximgproc/structured_edge_detection.hpp