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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSegmentationLevelSetImageFilter.txx,v $
Language: C++
Date: $Date: 2004-12-21 22:47:29 $
Version: $Revision: 1.20 $
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 __itkSegmentationLevelSetImageFilter_txx_
#define __itkSegmentationLevelSetImageFilter_txx_
#include "itkSegmentationLevelSetImageFilter.h"
namespace itk {
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "m_ReverseExpansionDirection = " << m_ReverseExpansionDirection << std::endl;
os << indent << "m_AutoGenerateSpeedAdvection = " << m_AutoGenerateSpeedAdvection << std::endl;
os << indent << "m_SegmentationFunction = " << m_SegmentationFunction << std::endl;
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::SegmentationLevelSetImageFilter()
{
this->SetNumberOfRequiredInputs(2);
this->SetNumberOfLayers(TInputImage::ImageDimension);
m_SegmentationFunction = 0;
m_AutoGenerateSpeedAdvection = true;
this->SetIsoSurfaceValue(NumericTraits<ValueType>::Zero);
// 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>
void
SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::GenerateSpeedImage()
{
m_SegmentationFunction->AllocateSpeedImage();
m_SegmentationFunction->CalculateSpeedImage();
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::GenerateAdvectionImage()
{
m_SegmentationFunction->AllocateAdvectionImage();
m_SegmentationFunction->CalculateAdvectionImage();
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::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->GetState() == Superclass::UNINITIALIZED && m_AutoGenerateSpeedAdvection == true)
{
if (this->GetSegmentationFunction()->GetPropagationWeight() != 0)
{
this->GenerateSpeedImage();
}
if (this->GetSegmentationFunction()->GetAdvectionWeight() != 0)
{
this->GenerateAdvectionImage();
}
}
// Start the solver
Superclass::GenerateData();
// Reset all the signs of the weights.
if (m_ReverseExpansionDirection == true)
{
this->GetSegmentationFunction()->ReverseExpansionDirection();
}
}
} // end namespace itk
#endif
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