---

MonoGaussianClassifier Class Reference

#include <MonoGaussianClassifier.hpp>

Inheritance diagram for MonoGaussianClassifier:

[legend]Collaboration diagram for MonoGaussianClassifier:

[legend]List of all members.

---

Detailed Description

Abstract Separate Feature Classifier.

Author:

Bernard De Cuyper

Version:

0.05

Date:

20/09/2002

 
Purpose:        Define the concept of 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
	MonoGaussianClassifier ()
virtual	~MonoGaussianClassifier ()
virtual double	distance2 (double feature)
virtual double	P (double feature)
virtual double	L (double feature)
virtual void	output (FILE *file)
virtual void	output ()
Protected Methods
virtual double	reducedValue (double feature)
Protected Attributes
double	meanValue
double	sigma
double	root2PI

---

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

• MonoGaussianClassifier.hpp
• MonoGaussianClassifier.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.