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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSampleClassifier.txx,v $
Language: C++
Date: $Date: 2009-03-04 19:29:53 $
Version: $Revision: 1.17 $
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.
=========================================================================*/
#ifndef __itkSampleClassifier_txx
#define __itkSampleClassifier_txx
#include "itkSampleClassifier.h"
namespace itk {
namespace Statistics {
template< class TSample >
SampleClassifier< TSample >
::SampleClassifier()
{
m_Sample = 0;
m_Output = OutputType::New();
}
template< class TSample >
void
SampleClassifier< TSample >
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Sample: ";
if ( m_Sample != 0 )
{
os << m_Sample << std::endl;
}
else
{
os << "not set." << std::endl;
}
os << indent << "Output: " << m_Output << std::endl;
}
template< class TSample >
void
SampleClassifier< TSample >
::SetSample(const TSample* sample)
{
if ( m_Sample != sample )
{
m_Sample = sample;
m_Output->SetSample(sample);
}
}
template< class TSample >
const TSample*
SampleClassifier< TSample >
::GetSample() const
{
return m_Sample;
}
template< class TSample >
void
SampleClassifier< TSample >
::SetMembershipFunctionClassLabels(ClassLabelVectorType& labels)
{
m_ClassLabels = labels;
}
template< class TSample >
void
SampleClassifier< TSample >
::GenerateData()
{
unsigned int i;
typename TSample::ConstIterator iter = this->GetSample()->Begin();
typename TSample::ConstIterator end = this->GetSample()->End();
typename TSample::MeasurementVectorType measurements;
m_Output->Resize( this->GetSample()->Size() );
std::vector< double > discriminantScores;
unsigned int numberOfClasses = this->GetNumberOfClasses();
discriminantScores.resize(numberOfClasses);
unsigned int classLabel;
m_Output->SetNumberOfClasses(numberOfClasses);
typename Superclass::DecisionRuleType::Pointer rule =
this->GetDecisionRule();
if ( m_ClassLabels.size() != this->GetNumberOfMembershipFunctions() )
{
while (iter != end)
{
measurements = iter.GetMeasurementVector();
for (i = 0; i < numberOfClasses; i++)
{
discriminantScores[i] =
(this->GetMembershipFunction(i))->Evaluate(measurements);
}
classLabel = rule->Evaluate(discriminantScores);
m_Output->AddInstance(classLabel, iter.GetInstanceIdentifier());
++iter;
}
}
else
{
while (iter != end)
{
measurements = iter.GetMeasurementVector();
for (i = 0; i < numberOfClasses; i++)
{
discriminantScores[i] =
(this->GetMembershipFunction(i))->Evaluate(measurements);
}
classLabel = rule->Evaluate(discriminantScores);
m_Output->AddInstance(m_ClassLabels[classLabel],
iter.GetInstanceIdentifier());
++iter;
}
}
}
template< class TSample >
typename SampleClassifier< TSample >::OutputType*
SampleClassifier< TSample >
::GetOutput()
{
return m_Output;
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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