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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkNarrowBandLevelSetImageFilter.txx,v $
Language: C++
Date: $Date: 2004-12-21 22:47:27 $
Version: $Revision: 1.7 $
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 __itkNarrowBandLevelSetImageFilter_txx_
#define __itkNarrowBandLevelSetImageFilter_txx_
#include "itkNarrowBandLevelSetImageFilter.h"
#include "stdio.h"
namespace itk {
template <class TInputImage, class TFeatureImage, class TOutputPixelType, class 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 <class TInputImage, class TFeatureImage, class TOutputPixelType, class TOutputImage>
NarrowBandLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, TOutputImage>
::NarrowBandLevelSetImageFilter()
{
this->SetNumberOfRequiredInputs(2);
//this->SetNarrowBandInnerRadius();
//this->SetNarrowBandTotalRadius();
m_SegmentationFunction = 0;
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 <class TInputImage, class TFeatureImage, class TOutputPixelType, class 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 <class TInputImage, class TFeatureImage, class TOutputPixelType, class TOutputImage>
void
NarrowBandLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, TOutputImage>
::GenerateData()
{
if (m_SegmentationFunction == 0)
{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 (this->GetSegmentationFunction()->GetPropagationWeight() != 0)
{
m_SegmentationFunction->AllocateSpeedImage();
m_SegmentationFunction->CalculateSpeedImage();
}
if (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 <class TInputImage, class TFeatureImage, class TOutputPixelType, class 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(NULL);
m_ChamferFilter->SetInput(NULL);
}
} // end namespace itk
#endif
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