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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkMeanSampleFilter.txx
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.
=========================================================================*/
#ifndef __itkMeanSampleFilter_txx
#define __itkMeanSampleFilter_txx
#include "itkMeasurementVectorTraits.h"
namespace itk {
namespace Statistics {
template< class TSample >
MeanSampleFilter< TSample >
::MeanSampleFilter()
{
this->ProcessObject::SetNumberOfRequiredInputs(1);
this->ProcessObject::SetNumberOfRequiredOutputs(1);
this->ProcessObject::SetNthOutput(0, this->MakeOutput(0) );
}
template< class TSample >
MeanSampleFilter< TSample >
::~MeanSampleFilter()
{
}
template< class TSample >
void
MeanSampleFilter< TSample >
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
}
template< class TSample >
void
MeanSampleFilter< TSample >
::SetInput( const SampleType * sample )
{
this->ProcessObject::SetNthInput(0, const_cast< SampleType* >( sample ) );
}
template< class TSample >
const TSample *
MeanSampleFilter< TSample >
::GetInput( ) const
{
if (this->GetNumberOfInputs() < 1)
{
return 0;
}
return static_cast<const SampleType * > (this->ProcessObject::GetInput(0) );
}
template< class TSample >
typename MeanSampleFilter< TSample>::DataObjectPointer
MeanSampleFilter< TSample >
::MakeOutput(unsigned int itkNotUsed(idx))
{
return static_cast< DataObject * >(MeasurementVectorDecoratedType::New().GetPointer());
}
template< class TSample >
const typename MeanSampleFilter< TSample>::MeasurementVectorDecoratedType *
MeanSampleFilter< TSample >
::GetOutput() const
{
return static_cast< const MeasurementVectorDecoratedType * >(
this->ProcessObject::GetOutput(0));
}
template< class TSample >
const typename MeanSampleFilter< TSample>::MeasurementVectorType
MeanSampleFilter< TSample >
::GetMean() const
{
return this->GetOutput()->Get();
}
template< class TSample >
void
MeanSampleFilter< TSample >
::GenerateData()
{
const SampleType *input = this->GetInput();
MeasurementVectorSizeType measurementVectorSize =
input->GetMeasurementVectorSize();
MeasurementVectorDecoratedType * decoratedOutput =
static_cast< MeasurementVectorDecoratedType * >(
this->ProcessObject::GetOutput(0));
MeasurementVectorType output = decoratedOutput->Get();
typename TSample::ConstIterator iter = input->Begin();
typename TSample::ConstIterator end = input->End();
double totalFrequency = 0.0;
for (unsigned int dim = 0; dim < measurementVectorSize; dim++)
{
output[dim] = itk::NumericTraits< MeasurementType >::Zero;
}
while (iter != end)
{
double frequency = iter.GetFrequency();
totalFrequency += frequency;
for (unsigned int dim = 0; dim < measurementVectorSize; dim++)
{
output[dim] += iter.GetMeasurementVector()[dim] * frequency;
}
++iter;
}
// compute the mean if the total frequency is different from zero
if ( totalFrequency != 0.0 )
{
for (unsigned int dim = 0; dim < measurementVectorSize; dim++)
{
output[dim] /= totalFrequency;
}
}
decoratedOutput->Set( output );
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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