cv::HausdorffDistanceExtractor Class Reference

A simple Hausdorff distance measure between shapes defined by contours. More...

#include <opencv2/shape/shape_distance.hpp>

Collaboration diagram for cv::HausdorffDistanceExtractor:

Public Member Functions
virtual int	getDistanceFlag () const =0
virtual float	getRankProportion () const =0
virtual void	setDistanceFlag (int distanceFlag)=0
	Set the norm used to compute the Hausdorff value between two shapes. It can be L1 or L2 norm.
virtual void	setRankProportion (float rankProportion)=0
	This method sets the rank proportion (or fractional value) that establish the Kth ranked value of the partial Hausdorff distance. Experimentally had been shown that 0.6 is a good value to compare shapes.
Public Member Functions inherited from cv::ShapeDistanceExtractor
virtual float	computeDistance (InputArray contour1, InputArray contour2)=0
	Compute the shape distance between two shapes defined by its contours.
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
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< _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

Detailed Description

A simple Hausdorff distance measure between shapes defined by contours.

according to the paper "Comparing Images using the Hausdorff distance." by D.P. Huttenlocher, G.A. Klanderman, and W.J. Rucklidge. (PAMI 1993). :

Member Function Documentation

getDistanceFlag()

virtual int cv::HausdorffDistanceExtractor::getDistanceFlag ( ) const

pure virtual

Python:
	cv.HausdorffDistanceExtractor.getDistanceFlag(		) ->	retval

getRankProportion()

virtual float cv::HausdorffDistanceExtractor::getRankProportion ( ) const

pure virtual

Python:
	cv.HausdorffDistanceExtractor.getRankProportion(		) ->	retval

setDistanceFlag()

virtual void cv::HausdorffDistanceExtractor::setDistanceFlag ( int distanceFlag )

pure virtual

Python:
	cv.HausdorffDistanceExtractor.setDistanceFlag(	distanceFlag	) ->	None

Set the norm used to compute the Hausdorff value between two shapes. It can be L1 or L2 norm.

Parameters

distanceFlag

Flag indicating which norm is used to compute the Hausdorff distance (NORM_L1, NORM_L2).

setRankProportion()

virtual void cv::HausdorffDistanceExtractor::setRankProportion ( float rankProportion )

pure virtual

Python:
	cv.HausdorffDistanceExtractor.setRankProportion(	rankProportion	) ->	None

This method sets the rank proportion (or fractional value) that establish the Kth ranked value of the partial Hausdorff distance. Experimentally had been shown that 0.6 is a good value to compare shapes.

Parameters

rankProportion

fractional value (between 0 and 1).

---

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

• opencv2/shape/shape_distance.hpp