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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkHausdorffDistanceImageFilter.txx,v $
Language: C++
Date: $Date: 2008-01-19 19:50:01 $
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 _itkHausdorffDistanceImageFilter_txx
#define _itkHausdorffDistanceImageFilter_txx
#include "itkHausdorffDistanceImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkNumericTraits.h"
#include "itkProgressAccumulator.h"
#include "itkDirectedHausdorffDistanceImageFilter.h"
namespace itk {
template<class TInputImage1, class TInputImage2>
HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::HausdorffDistanceImageFilter()
{
// this filter requires two input images
this->SetNumberOfRequiredInputs( 2 );
m_HausdorffDistance = NumericTraits<RealType>::Zero;
}
template<class TInputImage1, class TInputImage2>
void
HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::SetInput2( const TInputImage2 * image )
{
this->SetNthInput(1, const_cast<TInputImage2 *>( image ) );
}
template<class TInputImage1, class TInputImage2>
const typename HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::InputImage2Type *
HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::GetInput2()
{
return static_cast< const TInputImage2 * >
(this->ProcessObject::GetInput(1));
}
template<class TInputImage1, class TInputImage2>
void
HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::GenerateInputRequestedRegion()
{
Superclass::GenerateInputRequestedRegion();
// this filter requires:
// - the largeset possible region of the first image
// - the corresponding region of the second image
if ( this->GetInput1() )
{
InputImage1Pointer image1 =
const_cast< InputImage1Type * >( this->GetInput1() );
image1->SetRequestedRegionToLargestPossibleRegion();
if ( this->GetInput2() )
{
InputImage2Pointer image2 =
const_cast< InputImage2Type * >( this->GetInput2() );
image2->SetRequestedRegion(
this->GetInput1()->GetRequestedRegion() );
}
}
}
template<class TInputImage1, class TInputImage2>
void
HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::EnlargeOutputRequestedRegion(DataObject *data)
{
Superclass::EnlargeOutputRequestedRegion(data);
data->SetRequestedRegionToLargestPossibleRegion();
}
template<class TInputImage1, class TInputImage2>
void
HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::GenerateData()
{
// Pass the first input through as the output
InputImage1Pointer image =
const_cast< TInputImage1 * >( this->GetInput1() );
this->GraftOutput( image );
RealType distance12, distance21;
// Create a process accumulator for tracking the progress of this minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
typedef DirectedHausdorffDistanceImageFilter<InputImage1Type,InputImage2Type>
Filter12Type;
typename Filter12Type::Pointer filter12 = Filter12Type::New();
filter12->SetInput1( this->GetInput1() );
filter12->SetInput2( this->GetInput2() );
typedef DirectedHausdorffDistanceImageFilter<InputImage2Type,InputImage1Type>
Filter21Type;
typename Filter21Type::Pointer filter21 = Filter21Type::New();
filter21->SetInput1( this->GetInput2() );
filter21->SetInput2( this->GetInput1() );
// Register the filter with the with progress accumulator using
// equal weight proportion
progress->RegisterInternalFilter(filter12,.5f);
progress->RegisterInternalFilter(filter21,.5f);
filter12->Update();
distance12 = filter12->GetDirectedHausdorffDistance();
filter21->Update();
distance21 = filter21->GetDirectedHausdorffDistance();
if ( distance12 > distance21 )
{
m_HausdorffDistance = distance12;
}
else
{
m_HausdorffDistance = distance21;
}
}
template<class TInputImage1, class TInputImage2>
void
HausdorffDistanceImageFilter<TInputImage1, TInputImage2>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "HausdorffDistance: "
<< m_HausdorffDistance << std::endl;
}
}// end namespace itk
#endif
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