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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkMinimumDecisionRule.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.
=========================================================================*/
#include "itkMinimumDecisionRule.h"
namespace itk
{
MinimumDecisionRule
::MinimumDecisionRule()
{
}
unsigned int
MinimumDecisionRule
::Evaluate( const VectorType &discriminantScores) const
{
double minimumDistance = discriminantScores[0];
unsigned int classifiedPixelIndex = 0;
unsigned int numberOfClasses = static_cast<unsigned int>( discriminantScores.size() );
//Loop through the probabilities to get the best index
for(unsigned int classIndex = 1; classIndex < numberOfClasses; classIndex++ )
{
if( discriminantScores[classIndex] < minimumDistance )
{
minimumDistance = discriminantScores[classIndex];
classifiedPixelIndex = classIndex;
}
}// end for
return classifiedPixelIndex;
}
unsigned int
MinimumDecisionRule
::Evaluate( const ArrayType &discriminantScores) const
{
double minimumDistance = discriminantScores[0];
unsigned int classifiedPixelIndex = 0;
unsigned int numberOfClasses = static_cast<unsigned int>( discriminantScores.Size() );
//Loop through the probabilities to get the best index
for(unsigned int classIndex = 1; classIndex < numberOfClasses; classIndex++ )
{
if( discriminantScores[classIndex] < minimumDistance )
{
minimumDistance = discriminantScores[classIndex];
classifiedPixelIndex = classIndex;
}
}// end for
return classifiedPixelIndex;
}
} // namespace itk
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