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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkStandardDeviationPerComponentSampleFilter.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 __itkStandardDeviationPerComponentSampleFilter_txx
#define __itkStandardDeviationPerComponentSampleFilter_txx
#include "itkStandardDeviationPerComponentSampleFilter.h"
#include "itkMeasurementVectorTraits.h"
#include "vnl/vnl_math.h"
namespace itk {
namespace Statistics {
template< class TSample >
StandardDeviationPerComponentSampleFilter< TSample >
::StandardDeviationPerComponentSampleFilter()
{
this->ProcessObject::SetNumberOfRequiredInputs(1);
this->ProcessObject::SetNumberOfRequiredOutputs(2);
this->ProcessObject::SetNthOutput( 0, this->MakeOutput(0) );
this->ProcessObject::SetNthOutput( 1, this->MakeOutput(1) );
}
template< class TSample >
StandardDeviationPerComponentSampleFilter< TSample >
::~StandardDeviationPerComponentSampleFilter()
{
}
template< class TSample >
void
StandardDeviationPerComponentSampleFilter< TSample >
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
}
template< class TSample >
void
StandardDeviationPerComponentSampleFilter< TSample >
::SetInput( const SampleType * sample )
{
this->ProcessObject::SetNthInput(0, const_cast< SampleType* >( sample ) );
}
template< class TSample >
const TSample *
StandardDeviationPerComponentSampleFilter< TSample >
::GetInput( ) const
{
if (this->GetNumberOfInputs() < 1)
{
return 0;
}
return static_cast<const SampleType * >
(this->ProcessObject::GetInput(0) );
}
template< class TSample >
typename StandardDeviationPerComponentSampleFilter< TSample>::DataObjectPointer
StandardDeviationPerComponentSampleFilter< TSample >
::MakeOutput(unsigned int index )
{
if ( index == 0 )
{
typedef typename MeasurementVectorTraitsTypes< MeasurementVectorType >::ValueType ValueType;
MeasurementVectorType standardDeviation;
MeasurementVectorTraits::SetLength( standardDeviation, this->GetMeasurementVectorSize() );
standardDeviation.Fill( NumericTraits< ValueType >::Zero );
typename MeasurementVectorRealDecoratedType::Pointer decoratedStandardDeviation = MeasurementVectorRealDecoratedType::New();
decoratedStandardDeviation->Set( standardDeviation );
return static_cast< DataObject * >( decoratedStandardDeviation.GetPointer() );
}
if ( index == 1 )
{
typedef typename MeasurementVectorTraitsTypes< MeasurementVectorType >::ValueType ValueType;
MeasurementVectorType mean;
MeasurementVectorTraits::SetLength( mean, this->GetMeasurementVectorSize() );
mean.Fill( NumericTraits< ValueType >::Zero );
typename MeasurementVectorRealDecoratedType::Pointer decoratedStandardDeviation = MeasurementVectorRealDecoratedType::New();
decoratedStandardDeviation->Set( mean );
return static_cast< DataObject * >( decoratedStandardDeviation.GetPointer() );
}
itkExceptionMacro("Trying to create output of index " << index << " larger than the number of output");
}
template< class TSample >
typename StandardDeviationPerComponentSampleFilter< TSample >::MeasurementVectorSizeType
StandardDeviationPerComponentSampleFilter< TSample >
::GetMeasurementVectorSize() const
{
const SampleType *input = this->GetInput();
if( input )
{
return input->GetMeasurementVectorSize();
}
// Test if the Vector type knows its length
MeasurementVectorType vector;
MeasurementVectorSizeType measurementVectorSize = MeasurementVectorTraits::GetLength( vector );
if( measurementVectorSize )
{
return measurementVectorSize;
}
measurementVectorSize = 1; // Otherwise set it to an innocuous value
return measurementVectorSize;
}
template< class TSample >
inline void
StandardDeviationPerComponentSampleFilter< TSample >
::GenerateData()
{
const SampleType *input = this->GetInput();
MeasurementVectorSizeType measurementVectorSize = input->GetMeasurementVectorSize();
MeasurementVectorRealDecoratedType * decoratedStandardDeviationOutput =
static_cast< MeasurementVectorRealDecoratedType * >(
this->ProcessObject::GetOutput(0));
MeasurementVectorRealDecoratedType * decoratedMean =
static_cast< MeasurementVectorRealDecoratedType * >(
this->ProcessObject::GetOutput(1));
MeasurementVectorRealType sum;
MeasurementVectorRealType sumOfSquares;
MeasurementVectorRealType mean;
MeasurementVectorRealType standardDeviation;
MeasurementVectorTraits::SetLength( sum, measurementVectorSize );
MeasurementVectorTraits::SetLength( mean, measurementVectorSize );
MeasurementVectorTraits::SetLength( sumOfSquares, measurementVectorSize );
MeasurementVectorTraits::SetLength( standardDeviation, measurementVectorSize );
sum.Fill(0.0);
mean.Fill(0.0);
sumOfSquares.Fill(0.0);
standardDeviation.Fill(0.0);
typename TSample::AbsoluteFrequencyType frequency;
typedef typename TSample::TotalAbsoluteFrequencyType TotalAbsoluteFrequencyType;
TotalAbsoluteFrequencyType totalFrequency =
itk::NumericTraits< TotalAbsoluteFrequencyType >::Zero;
typename TSample::ConstIterator iter = input->Begin();
typename TSample::ConstIterator end = input->End();
MeasurementVectorType diff;
MeasurementVectorType measurements;
MeasurementVectorTraits::SetLength( diff, measurementVectorSize );
MeasurementVectorTraits::SetLength( measurements, measurementVectorSize );
//Compute the mean first
while (iter != end)
{
frequency = iter.GetFrequency();
totalFrequency += frequency;
measurements = iter.GetMeasurementVector();
for( unsigned int i = 0; i < measurementVectorSize; ++i )
{
double value = measurements[i];
sum[i] += frequency * value;
sumOfSquares[i] += frequency * value * value;
}
++iter;
}
for( unsigned int i = 0; i < measurementVectorSize; ++i )
{
const double meanValue = sum[i] / totalFrequency;
mean[i] = meanValue;
const double variance =
( sumOfSquares[i] - meanValue * meanValue * totalFrequency ) / ( totalFrequency - 1.0 );
standardDeviation[i] = vcl_sqrt( variance );
}
decoratedStandardDeviationOutput->Set( standardDeviation );
decoratedMean->Set( mean );
}
template< class TSample >
const typename StandardDeviationPerComponentSampleFilter< TSample>::MeasurementVectorRealDecoratedType *
StandardDeviationPerComponentSampleFilter< TSample >
::GetStandardDeviationPerComponentOutput() const
{
return static_cast<const MeasurementVectorRealDecoratedType *>(this->ProcessObject::GetOutput(0));
}
template< class TSample >
const typename StandardDeviationPerComponentSampleFilter< TSample>::MeasurementVectorRealType
StandardDeviationPerComponentSampleFilter< TSample >
::GetStandardDeviationPerComponent() const
{
return this->GetStandardDeviationPerComponentOutput()->Get();
}
template< class TSample >
const typename StandardDeviationPerComponentSampleFilter< TSample>::MeasurementVectorRealDecoratedType *
StandardDeviationPerComponentSampleFilter< TSample >
::GetMeanPerComponentOutput() const
{
return static_cast<const MeasurementVectorRealDecoratedType *>(this->ProcessObject::GetOutput(1));
}
template< class TSample >
const typename StandardDeviationPerComponentSampleFilter< TSample>::MeasurementVectorRealType
StandardDeviationPerComponentSampleFilter< TSample >
::GetMeanPerComponent() const
{
return this->GetMeanPerComponentOutput()->Get();
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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