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SeparateGaussianClassifier Class Reference

#include <SeparateGaussianClassifier.hpp>

Inheritance diagram for SeparateGaussianClassifier:

[legend]Collaboration diagram for SeparateGaussianClassifier:

[legend]List of all members.

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Detailed Description

Gaussian Separate Feature Classifier.

Author:

Bernard De Cuyper

Version:

0.05

Date:

20/09/2002

 
Purpose:        Define the concept of Gaussian Separate Feature Classifier in which multivalue
            features are handled independently.
                

@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2002, Eggs & Pictures. MIT/Open BSD copyright model.

Public Methods
	SeparateGaussianClassifier (int n)
virtual	~SeparateGaussianClassifier ()
virtual double	distance2 (RealVector &featureVector)
virtual void	start ()
virtual double	P (RealVector &featureVector)
virtual double	L (RealVector &featureVector)
virtual void	output (FILE *file)
virtual void	output ()
Protected Methods
virtual double	reducedValue (int i, double featurei)
Protected Attributes
RealVector *	meanValue
RealVector *	sigma
double	root2nPI
double	logroot2nPI
double	sumLogSigma
double	productSigma

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

• SeparateGaussianClassifier.hpp
• SeparateGaussianClassifier.cpp

Restoreinpaint sourceforge project `C++/Java Image Processing, Restoration, Inpainting Project'.

Bernard De Cuyper: Open Project Leader: Concept, design and development. Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only. Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.