OpenCV
3.1.0
Open Source Computer Vision
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#include "structured_edge_detection.hpp"
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... | |
Helper class for training part of [P. Dollar and C. L. Zitnick. Structured Forests for Fast Edge Detection, 2013].
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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 |