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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSampleClassifierWithMask.txx,v $
Language: C++
Date: $Date: 2009-03-04 19:29:54 $
Version: $Revision: 1.9 $
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 __itkSampleClassifierWithMask_txx
#define __itkSampleClassifierWithMask_txx
#include "itkSampleClassifierWithMask.h"
namespace itk {
namespace Statistics {
template< class TSample, class TMaskSample >
SampleClassifierWithMask< TSample, TMaskSample >
::SampleClassifierWithMask()
{
m_OtherClassLabel = 0;
m_Mask = 0;
}
template< class TSample, class TMaskSample >
void
SampleClassifierWithMask< TSample, TMaskSample >
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Mask: ";
if ( m_Mask.IsNotNull() )
{
os << m_Mask << std::endl;
}
else
{
os << "not set." << std::endl;
}
os << indent << "SelectedClassLabels: ";
for ( unsigned int i = 0; i < m_SelectedClassLabels.size(); ++i )
{
os << " " << m_SelectedClassLabels[i];
}
os << std::endl;
os << indent << "OtherClassLabel: " << m_OtherClassLabel << std::endl;
}
template< class TSample, class TMaskSample >
void
SampleClassifierWithMask< TSample, TMaskSample >
::SetMask(TMaskSample* mask)
{
if ( m_Mask != mask )
{
m_Mask = mask;
}
}
template< class TSample, class TMaskSample >
void
SampleClassifierWithMask< TSample, TMaskSample >
::GenerateData()
{
unsigned int i;
typename TSample::ConstIterator iter = this->GetSample()->Begin();
typename TSample::ConstIterator end = this->GetSample()->End();
typename TSample::MeasurementVectorType measurements;
typename TMaskSample::Iterator m_iter = this->GetMask()->Begin();
OutputType* output = this->GetOutput();
output->Resize(this->GetSample()->Size());
std::vector< double > discriminantScores;
unsigned int numberOfClasses = this->GetNumberOfClasses();
discriminantScores.resize(numberOfClasses);
output->SetNumberOfClasses(numberOfClasses + 1);
unsigned int classLabel;
typename Superclass::DecisionRuleType::Pointer rule =
this->GetDecisionRule();
typename Superclass::ClassLabelVectorType classLabels =
this->GetMembershipFunctionClassLabels();
if ( this->GetMask()->Size() != this->GetSample()->Size() )
{
itkExceptionMacro("The sizes of the mask sample and the input sample do not match.");
}
if ( classLabels.size() != this->GetNumberOfMembershipFunctions() )
{
while (iter != end)
{
measurements = iter.GetMeasurementVector();
if ( std::find(m_SelectedClassLabels.begin(),
m_SelectedClassLabels.end(),
m_iter.GetMeasurementVector()[0]) !=
m_SelectedClassLabels.end() )
{
for (i = 0; i < numberOfClasses; i++)
{
discriminantScores[i] =
(this->GetMembershipFunction(i))->Evaluate(measurements);
}
classLabel = rule->Evaluate(discriminantScores);
}
else
{
classLabel = m_OtherClassLabel;
}
output->AddInstance(classLabel, iter.GetInstanceIdentifier());
++iter;
++m_iter;
}
}
else
{
while (iter != end)
{
measurements = iter.GetMeasurementVector();
if ( std::find(m_SelectedClassLabels.begin(),
m_SelectedClassLabels.end(),
m_iter.GetMeasurementVector()[0]) !=
m_SelectedClassLabels.end() )
{
for (i = 0; i < numberOfClasses; i++)
{
discriminantScores[i] =
(this->GetMembershipFunction(i))->Evaluate(measurements);
}
classLabel = rule->Evaluate(discriminantScores);
output->AddInstance(classLabels[classLabel],
iter.GetInstanceIdentifier());
}
else
{
output->AddInstance(m_OtherClassLabel,
iter.GetInstanceIdentifier());
}
++iter;
++m_iter;
}
}
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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