OpenCV 4.10.0-dev
Open Source Computer Vision
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Texture-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in [277]. More...
#include <opencv2/ximgproc/segmentation.hpp>
Additional Inherited Members | |
Public Member Functions inherited from cv::ximgproc::segmentation::SelectiveSearchSegmentationStrategy | |
virtual float | get (int r1, int r2)=0 |
Return the score between two regions (between 0 and 1) | |
virtual void | merge (int r1, int r2)=0 |
Inform the strategy that two regions will be merged. | |
virtual void | setImage (InputArray img, InputArray regions, InputArray sizes, int image_id=-1)=0 |
Set a initial image, with a segmentation. | |
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 |
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. | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. | |
Protected Member Functions inherited from cv::Algorithm | |
void | writeFormat (FileStorage &fs) const |
Texture-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in [277].