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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkNarrowBandLevelSetImageFilter_hxx
#define itkNarrowBandLevelSetImageFilter_hxx
#include "itkNarrowBandLevelSetImageFilter.h"
#include <cstdio>
#include "itkMath.h"
namespace itk
{
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage >
void
NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "m_ReverseExpansionDirection = " << m_ReverseExpansionDirection << std::endl;
os << indent << "m_SegmentationFunction = " << m_SegmentationFunction << std::endl;
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage >
NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >
::NarrowBandLevelSetImageFilter()
{
this->SetNumberOfRequiredInputs(2);
//this->SetNarrowBandInnerRadius();
//this->SetNarrowBandTotalRadius();
m_SegmentationFunction = ITK_NULLPTR;
m_IsoFilter = IsoFilterType::New();
m_ChamferFilter = ChamferFilterType::New();
// Provide some reasonable defaults which will at least prevent infinite
// looping.
this->SetMaximumRMSError(0.02);
this->SetNumberOfIterations(1000);
m_ReverseExpansionDirection = false;
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage >
void
NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >
::SetSegmentationFunction(SegmentationFunctionType *s)
{
unsigned int i;
m_SegmentationFunction = s;
typename SegmentationFunctionType::RadiusType r;
for ( i = 0; i < Self::ImageDimension; ++i )
{
r[i] = 1;
}
m_SegmentationFunction->Initialize(r);
this->SetDifferenceFunction(m_SegmentationFunction);
this->Modified();
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage >
void
NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >
::GenerateData()
{
if ( m_SegmentationFunction == ITK_NULLPTR )
{ itkExceptionMacro("No finite difference function was specified."); }
// A positive speed value causes surface expansion, the opposite of the
// default. Flip the sign of the propagation and advection weights.
if ( m_ReverseExpansionDirection == true )
{
this->GetSegmentationFunction()->ReverseExpansionDirection();
}
// Allocate the images from which speeds will be sampled.
if ( Math::NotExactlyEquals(this->GetSegmentationFunction()->GetPropagationWeight(), 0) )
{
m_SegmentationFunction->AllocateSpeedImage();
m_SegmentationFunction->CalculateSpeedImage();
}
if ( Math::NotExactlyEquals(this->GetSegmentationFunction()->GetAdvectionWeight(), 0) )
{
m_SegmentationFunction->AllocateAdvectionImage();
m_SegmentationFunction->CalculateAdvectionImage();
}
// Start the solver
Superclass::GenerateData();
// Reset all the signs of the weights.
if ( m_ReverseExpansionDirection == true )
{
this->GetSegmentationFunction()->ReverseExpansionDirection();
}
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage >
void
NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >
::CreateNarrowBand()
{
typename OutputImageType::Pointer levelset = this->GetOutput();
if ( !this->m_NarrowBand->Empty() )
{
m_IsoFilter->SetNarrowBand( this->m_NarrowBand.GetPointer() );
m_IsoFilter->NarrowBandingOn(); //Maybe we should check that the NarrowBand
// exits.
}
else
{
m_IsoFilter->NarrowBandingOff();
}
m_IsoFilter->SetFarValue(this->m_NarrowBand->GetTotalRadius() + 1);
m_IsoFilter->SetInput(levelset);
m_IsoFilter->Update();
m_ChamferFilter->SetInput( m_IsoFilter->GetOutput() );
m_ChamferFilter->SetMaximumDistance(this->m_NarrowBand->GetTotalRadius() + 1);
m_ChamferFilter->SetNarrowBand( this->m_NarrowBand.GetPointer() );
m_ChamferFilter->Update();
this->GraftOutput( m_ChamferFilter->GetOutput() );
m_IsoFilter->SetInput(ITK_NULLPTR);
m_ChamferFilter->SetInput(ITK_NULLPTR);
}
} // end namespace itk
#endif
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