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prapi::extras::JHDistance Class Reference

#include <ExtraProximities.h>

Inheritance diagram for prapi::extras::JHDistance:

Detailed Description

A proximity measure represented in "Jain A and Healey G (1998) A Multiscale Representation Including Opponent Color Features for Texture Recognition.

IEEE Trans. on Image Proc. 7(1):124-128. In short, this measure is a squared Euclidean distance scaled with feature variances.

Public Methods

JHDistance (const util::List< Sample< double > > &allSamples)

Create a new "Jain and Healey" type distance measure.

double getProximity (const util::List< double > &sample, const util::List< double > &model, double stopAfter=MAXDOUBLE) const throw (ProximityException&)

Constructor & Destructor Documentation

prapi::extras::JHDistance::JHDistance ( const util::List< Sample< double > > & allSamples )

Create a new "Jain and Healey" type distance measure.
This measure needs a set of samples at initialization because it needs to calculate the variance of each feature.
Parameters:

allSamples the samples between which distances are calculated

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

ExtraProximities.h
ExtraProximities.cc

Public Methods
	JHDistance (const util::List< Sample< double > > &allSamples)
	Create a new "Jain and Healey" type distance measure.
double	getProximity (const util::List< double > &sample, const util::List< double > &model, double stopAfter=MAXDOUBLE) const throw (ProximityException&)