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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: MaximumRatioDecisionRule.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
// Software Guide : BeginLatex
// \index{itk::Statistics::Maximum\-Ratio\-Decision\-Rule}
//
// The \code{Evaluate()} method of the \doxygen{MaximumRatioDecisionRule}
// returns the index, $i$ if
// \begin{equation}
// \frac{f_{i}(\overrightarrow{x})}{f_{j}(\overrightarrow{x})} >
// \frac{K_{j}}{K_{i}} \textrm{ for all } j \not= i
// \end{equation}
// where the $i$ is the index of a class which has membership function
// $f_{i}$ and its prior value (usually, the \emph{a priori}
// probability of the class) is $K_{i}$
//
// We include the header files for the class as well as the header file for
// the \code{std::vector} class that will be the container for the
// discriminant scores.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "itkMaximumRatioDecisionRule.h"
#include <vector>
// Software Guide : EndCodeSnippet
int main(int, char*[])
{
// Software Guide : BeginLatex
//
// The instantiation of the function is done through the usual
// \code{New()} method and a smart pointer.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::MaximumRatioDecisionRule DecisionRuleType;
DecisionRuleType::Pointer decisionRule = DecisionRuleType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We create the discriminant score vector and fill it with three
// values. We also create a vector (\code{aPrioris}) for the \emph{a
// priori} values. The \code{Evaluate( discriminantScores )} will
// return 1.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
std::vector< double > discriminantScores;
discriminantScores.push_back( 0.1 );
discriminantScores.push_back( 0.3 );
discriminantScores.push_back( 0.6 );
DecisionRuleType::APrioriVectorType aPrioris;
aPrioris.push_back( 0.1 );
aPrioris.push_back( 0.8 );
aPrioris.push_back( 0.1 );
decisionRule->SetAPriori( aPrioris );
std::cout << "MaximumRatioDecisionRule: The index of the chosen = "
<< decisionRule->Evaluate( discriminantScores )
<< std::endl;
// Software Guide : EndCodeSnippet
return 0;
}
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