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prapi::extras::MMDistance Class Reference

#include <ExtraProximities.h>

Inheritance diagram for prapi::extras::MMDistance:

prapi::ProximityMeasure< double > Object List of all members.

Detailed Description

A proximity measure represented in "Manjunath B.S.

and Ma W.Y (1996) Texture Features for Browsing and Retrieval of Image data. IEEE PAMI 18(8):837-842." In short, this measure is a city block distance scaled with the standard deviation of each feature.


Public Methods

 MMDistance (const util::List< Sample< double > > &allSamples)
 Create a new "Manjunath and Ma" 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::MMDistance::MMDistance (  const util::List< Sample< double > > &    allSamples ) 
 

Create a new "Manjunath and Ma" type distance measure.

This measure needs a set of samples at initialization because it needs to calculate the standard deviation of each feature.

Parameters:
allSamples  the samples between which distances are calculated

The documentation for this class was generated from the following files:
Documentation generated on 11.09.2003 with Doxygen.
The documentation is copyrighted material.
Copyright © Topi Mäenpää 2003. All rights reserved.