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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkLevelSetFunctionWithRefitTerm.txx,v $
Language: C++
Date: $Date: 2008-03-03 13:58:44 $
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 __itkLevelSetFunctionWithRefitTerm_txx_
#define __itkLevelSetFunctionWithRefitTerm_txx_
#include "itkLevelSetFunctionWithRefitTerm.h"
#include "itkSparseImage.h"
#include "itkNumericTraits.h"
#include "itkVector.h"
namespace itk {
template <class TImageType, class TSparseImageType>
const unsigned long
LevelSetFunctionWithRefitTerm <TImageType, TSparseImageType>
::m_NumVertex = 1 << TImageType::ImageDimension;
template <class TImageType, class TSparseImageType>
const typename LevelSetFunctionWithRefitTerm <TImageType,
TSparseImageType>::ScalarValueType
LevelSetFunctionWithRefitTerm <TImageType, TSparseImageType>
::m_DimConst = static_cast <ScalarValueType> (2.0/m_NumVertex);
template <class TImageType, class TSparseImageType>
LevelSetFunctionWithRefitTerm<TImageType, TSparseImageType>
::LevelSetFunctionWithRefitTerm()
{
m_SparseTargetImage = SparseImageType::New();
this->SetPropagationWeight (NumericTraits<ScalarValueType>::One);
m_RefitWeight = NumericTraits<ScalarValueType>::One;
m_OtherPropagationWeight = NumericTraits<ScalarValueType>::Zero;
m_MinVectorNorm = static_cast<ScalarValueType> (1.0e-6);
}
template <class TImageType, class TSparseImageType>
void
LevelSetFunctionWithRefitTerm<TImageType, TSparseImageType>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "RefitWeight: " << m_RefitWeight << std::endl;
os << indent << "OtherPropagationWeight: "
<< m_OtherPropagationWeight << std::endl;
os << indent << "MinVectorNorm: "<< m_MinVectorNorm << std::endl;
os << indent << "DimConst: "<< m_DimConst << std::endl;
os << indent << "NumVertex: "<< m_NumVertex << std::endl;
}
template <class TImageType, class TSparseImageType>
typename LevelSetFunctionWithRefitTerm<TImageType,
TSparseImageType>::TimeStepType
LevelSetFunctionWithRefitTerm<TImageType, TSparseImageType>
::ComputeGlobalTimeStep(void *GlobalData) const
{
TimeStepType dt = Superclass::ComputeGlobalTimeStep (GlobalData);
dt = vnl_math_min ( dt, this->m_WaveDT );
return dt;
}
template <class TImageType, class TSparseImageType>
typename LevelSetFunctionWithRefitTerm <TImageType,
TSparseImageType>::ScalarValueType
LevelSetFunctionWithRefitTerm<TImageType, TSparseImageType>
::ComputeCurvature( const NeighborhoodType &neighborhood ) const
{
unsigned int j, k;
unsigned int counterN, counterP;
unsigned long positionN, positionP,
stride[TImageType::ImageDimension], indicator[TImageType::ImageDimension];
const unsigned long center = neighborhood.Size()/2;
const NeighborhoodScalesType neighborhoodScales = this->ComputeNeighborhoodScales();
NormalVectorType normalvector;
ScalarValueType curvature;
for( j = 0; j < TImageType::ImageDimension; j++ )
{
stride[j] = neighborhood.GetStride(j);
indicator[j] = 1 << j;
}
curvature = NumericTraits<ScalarValueType>::Zero;
for (counterN = 0; counterN < m_NumVertex; counterN++)
{
// compute position of normal vector
positionN = center;
for (k = 0; k < TImageType::ImageDimension; k++)
{
if (counterN & indicator[k])
{
positionN -= stride[k];
}
}
// compute the normal vector
for (j = 0; j < TImageType::ImageDimension; j++) // derivative axis
{
normalvector[j] = NumericTraits<ScalarValueType>::Zero;
for (counterP = 0; counterP < m_NumVertex; counterP++)
{
positionP = positionN;
for (k = 0; k < TImageType::ImageDimension; k++)
{
if (counterP & indicator[k])
{
positionP += stride[k];
}
}
if ( counterP & indicator[j] )
{
normalvector[j] += neighborhood.GetPixel (positionP) * neighborhoodScales[j];
}
else
{
normalvector[j] -= neighborhood.GetPixel (positionP) * neighborhoodScales[j];
}
} // end counterP
} // end derivative axis
normalvector = normalvector / (m_MinVectorNorm + normalvector.GetNorm());
// add normal to curvature computation
for (j = 0; j < TImageType::ImageDimension; j++) // derivative axis
{
if ( counterN & indicator[j] )
{
curvature -= normalvector[j] * neighborhoodScales[j];
}
else
{
curvature += normalvector[j] * neighborhoodScales[j];
}
} // end derivative axis
} // end counterN
curvature *= m_DimConst;
return curvature;
}
template <class TImageType, class TSparseImageType>
typename LevelSetFunctionWithRefitTerm <TImageType,
TSparseImageType>::ScalarValueType
LevelSetFunctionWithRefitTerm<TImageType, TSparseImageType>
::PropagationSpeed(const NeighborhoodType &neighborhood,
const FloatOffsetType &offset,
GlobalDataStruct *globaldata) const
{
IndexType idx = neighborhood.GetIndex();
NodeType *targetnode = m_SparseTargetImage->GetPixel (idx);
ScalarValueType refitterm, cv, tcv;
if ((targetnode == 0)||(targetnode->m_CurvatureFlag == false))
{
if (targetnode == 0)
{
itkExceptionMacro( << "required node has null pointer\n");
}
else
{
itkExceptionMacro( << "required node has CurvatureFlag = false\n");
}
refitterm = NumericTraits<ScalarValueType>::Zero;
}
else
{
cv = this->ComputeCurvature (neighborhood);
tcv = targetnode->m_Curvature;
refitterm = static_cast<ScalarValueType> (tcv - cv);
}
return m_RefitWeight*refitterm +
m_OtherPropagationWeight*
OtherPropagationSpeed (neighborhood, offset, globaldata);
}
} //end namespace itk
#endif
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