Class cv::HausdorffDistanceExtractor#

A simple Hausdorff distance measure between shapes defined by contours. View details

#include <opencv2/shape/shape_distance.hpp>

Collaboration diagram for cv::HausdorffDistanceExtractor:

Public Member Functions#

Public Member Functions inherited from cv::ShapeDistanceExtractor

Return	Name	Description
`float`	`computeDistance(` `InputArray contour1,` `InputArray contour2 )`	Compute the shape distance between two shapes defined by its contours.

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

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()#

int cv::HausdorffDistanceExtractor::getDistanceFlag()

getRankProportion()#

float cv::HausdorffDistanceExtractor::getRankProportion()

setDistanceFlag()#

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

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()#

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

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).

Source file#

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

opencv2/shape/shape_distance.hpp