/usr/include/ITK-4.5/itkLevelSetEquationPropagationTerm.hxx is in libinsighttoolkit4-dev 4.5.0-3.
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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 __itkLevelSetEquationPropagationTerm_hxx
#define __itkLevelSetEquationPropagationTerm_hxx
#include "itkLevelSetEquationPropagationTerm.h"
#include "itkCastImageFilter.h"
namespace itk
{
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::LevelSetEquationPropagationTerm()
{
this->m_TermName = "Propagation term";
this->m_RequiredData.insert( "BackwardGradient" );
this->m_RequiredData.insert( "ForwardGradient" );
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::~LevelSetEquationPropagationTerm()
{
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
void
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::InitializeParameters()
{
this->SetUp();
if( this->m_PropagationImage.IsNull() )
{
typedef CastImageFilter< TInput, TPropagationImage > CastFilterType;
typename CastFilterType::Pointer castFilter = CastFilterType::New();
castFilter->SetInput( this->m_Input );
castFilter->Update();
this->m_PropagationImage = castFilter->GetOutput();
}
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
void
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::Initialize( const LevelSetInputIndexType& )
{
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
void
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::Update()
{
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
void
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::UpdatePixel( const LevelSetInputIndexType& itkNotUsed( iP ),
const LevelSetOutputRealType& itkNotUsed( oldValue ),
const LevelSetOutputRealType& itkNotUsed( newValue ) )
{
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
typename LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >::LevelSetOutputRealType
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::PropagationSpeed( const LevelSetInputIndexType& iP ) const
{
return ( static_cast< LevelSetOutputRealType >( this->m_PropagationImage->GetPixel(iP) ) );
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
typename LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >::LevelSetOutputRealType
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::Value( const LevelSetInputIndexType& iP )
{
LevelSetGradientType backwardGradient = this->m_CurrentLevelSetPointer->EvaluateBackwardGradient( iP );
LevelSetGradientType forwardGradient = this->m_CurrentLevelSetPointer->EvaluateForwardGradient( iP );
const LevelSetOutputRealType zero = NumericTraits< LevelSetOutputRealType >::Zero;
//
// Construct upwind gradient values for use in the propagation speed term:
// $\beta G(\mathbf{x})\mid\nabla\phi\mid$
//
// The following scheme for ``upwinding'' in the normal direction is taken
// from Sethian, Ch. 6 as referenced above.411
//
LevelSetOutputRealType propagation_gradient = zero;
for ( unsigned int i = 0; i < ImageDimension; i++ )
{
propagation_gradient +=
vnl_math_sqr( vnl_math_max( backwardGradient[i], zero ) ) +
vnl_math_sqr( vnl_math_min( forwardGradient[i], zero ) );
}
propagation_gradient *= this->PropagationSpeed( iP );
return propagation_gradient;
}
template< typename TInput, typename TLevelSetContainer, typename TPropagationImage >
typename LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >::LevelSetOutputRealType
LevelSetEquationPropagationTerm< TInput, TLevelSetContainer, TPropagationImage >
::Value( const LevelSetInputIndexType& iP,
const LevelSetDataType& iData )
{
const LevelSetOutputRealType zero = NumericTraits< LevelSetOutputRealType >::Zero;
LevelSetOutputRealType propagation_gradient = zero;
for ( unsigned int i = 0; i < ImageDimension; i++ )
{
propagation_gradient +=
vnl_math_sqr( vnl_math_max( iData.BackwardGradient.m_Value[i], zero ) ) +
vnl_math_sqr( vnl_math_min( iData.ForwardGradient.m_Value[i], zero ) );
}
propagation_gradient *= this->PropagationSpeed( iP );
return propagation_gradient;
}
}
#endif
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