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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkCollidingFrontsImageFilter.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 __itkCollidingFrontsImageFilter_txx
#define __itkCollidingFrontsImageFilter_txx
#include "itkCollidingFrontsImageFilter.h"
#include "itkMultiplyImageFilter.h"
#include "itkBinaryThresholdImageFunction.h"
#include "itkFloodFilledImageFunctionConditionalIterator.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
CollidingFrontsImageFilter<TInputImage,TOutputImage>
::CollidingFrontsImageFilter()
{
m_SeedPoints1 = NULL;
m_SeedPoints2 = NULL;
m_StopOnTargets = false;
m_ApplyConnectivity = true;
m_NegativeEpsilon = -1E-6;
}
template< typename TInputImage, typename TOutputImage >
void
CollidingFrontsImageFilter< TInputImage, TOutputImage >
::GenerateData()
{
typename FastMarchingUpwindGradientImageFilterType::Pointer fastMarchingFilter1 = FastMarchingUpwindGradientImageFilterType::New();
fastMarchingFilter1->SetInput(this->GetInput());
fastMarchingFilter1->SetTrialPoints(m_SeedPoints1);
fastMarchingFilter1->SetTargetPoints(m_SeedPoints2);
fastMarchingFilter1->SetOutputSize(this->GetInput()->GetBufferedRegion().GetSize());
fastMarchingFilter1->SetOutputOrigin(this->GetInput()->GetOrigin());
fastMarchingFilter1->SetOutputSpacing(this->GetInput()->GetSpacing());
fastMarchingFilter1->SetOutputDirection(this->GetInput()->GetDirection());
fastMarchingFilter1->GenerateGradientImageOn();
if (m_StopOnTargets)
{
fastMarchingFilter1->SetTargetReachedModeToAllTargets();
}
else
{
fastMarchingFilter1->SetTargetReachedModeToNoTargets();
}
fastMarchingFilter1->Update();
typename FastMarchingUpwindGradientImageFilterType::Pointer fastMarchingFilter2 = FastMarchingUpwindGradientImageFilterType::New();
fastMarchingFilter2->SetInput(this->GetInput());
fastMarchingFilter2->SetTrialPoints(m_SeedPoints2);
fastMarchingFilter2->SetTargetPoints(m_SeedPoints1);
fastMarchingFilter2->SetOutputSize(this->GetInput()->GetBufferedRegion().GetSize());
fastMarchingFilter2->SetOutputOrigin(this->GetInput()->GetOrigin());
fastMarchingFilter2->SetOutputSpacing(this->GetInput()->GetSpacing());
fastMarchingFilter2->SetOutputDirection(this->GetInput()->GetDirection());
fastMarchingFilter2->GenerateGradientImageOn();
if (m_StopOnTargets)
{
fastMarchingFilter2->SetTargetReachedModeToAllTargets();
}
else
{
fastMarchingFilter2->SetTargetReachedModeToNoTargets();
}
fastMarchingFilter2->Update();
typedef itk::MultiplyImageFilter<GradientImageType,GradientImageType,OutputImageType> MultiplyFilterType;
typename MultiplyFilterType::Pointer multiplyFilter = MultiplyFilterType::New();
multiplyFilter->SetInput1(fastMarchingFilter1->GetGradientImage());
multiplyFilter->SetInput2(fastMarchingFilter2->GetGradientImage());
multiplyFilter->Update();
OutputImagePointer multipliedImage = multiplyFilter->GetOutput();
typename NodeContainer::ConstIterator pointsIter1 = m_SeedPoints1->Begin();
typename NodeContainer::ConstIterator pointsEnd1 = m_SeedPoints1->End();
for (; pointsIter1 != pointsEnd1; ++pointsIter1 )
{
multipliedImage->SetPixel(pointsIter1.Value().GetIndex(),m_NegativeEpsilon);
}
typename NodeContainer::ConstIterator pointsIter2 = m_SeedPoints2->Begin();
typename NodeContainer::ConstIterator pointsEnd2 = m_SeedPoints2->End();
for (; pointsIter2 != pointsEnd2; ++pointsIter2 )
{
multipliedImage->SetPixel(pointsIter2.Value().GetIndex(),m_NegativeEpsilon);
}
if (m_ApplyConnectivity)
{
OutputImagePointer outputImage = this->GetOutput();
OutputImageRegionType region = outputImage->GetRequestedRegion();
outputImage->SetBufferedRegion( region );
outputImage->Allocate();
outputImage->FillBuffer ( NumericTraits<OutputPixelType>::Zero );
typedef BinaryThresholdImageFunction<OutputImageType> FunctionType;
typedef FloodFilledImageFunctionConditionalConstIterator<OutputImageType, FunctionType> IteratorType;
typename FunctionType::Pointer function = FunctionType::New();
function->SetInputImage ( multipliedImage );
function->ThresholdBelow ( m_NegativeEpsilon );
std::vector<IndexType> seedList;
pointsIter1 = m_SeedPoints1->Begin();
for (; pointsIter1 != pointsEnd1; ++pointsIter1 )
{
seedList.push_back( pointsIter1.Value().GetIndex() );
}
IteratorType it (multipliedImage, function, seedList);
it.GoToBegin();
while( !it.IsAtEnd())
{
if (region.IsInside(it.GetIndex()))
{
outputImage->SetPixel(it.GetIndex(),it.Get());
}
++it;
}
//TODO: dilate connected region to make level set smooth
}
else
{
this->AllocateOutputs();
this->GraftOutput( multiplyFilter->GetOutput() );
}
}
template <typename TInputImage, typename TOutputImage>
void
CollidingFrontsImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "ApplyConnectivity = " << m_ApplyConnectivity << std::endl;
os << indent << "SeedPoints1: " << m_SeedPoints1.GetPointer() << std::endl;
os << indent << "SeedPoints2: " << m_SeedPoints2.GetPointer() << std::endl;
os << indent << "NegativeEpsilon: " << m_NegativeEpsilon << std::endl;
os << indent << "StopOnTargets: " << m_StopOnTargets << std::endl;
}
} // end namespace itk
#endif
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