/usr/include/ITK-4.9/itkCurvesLevelSetFunction.hxx is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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 itkCurvesLevelSetFunction_hxx
#define itkCurvesLevelSetFunction_hxx
#include "itkMath.h"
#include "itkCurvesLevelSetFunction.h"
#include "itkImageRegionIterator.h"
#include "itkGradientRecursiveGaussianImageFilter.h"
#include "itkGradientImageFilter.h"
#include "itkVectorCastImageFilter.h"
#include "itkImageAlgorithm.h"
namespace itk
{
template< typename TImageType, typename TFeatureImageType >
void
CurvesLevelSetFunction< TImageType, TFeatureImageType >
::Initialize(const RadiusType & r)
{
Superclass::Initialize(r);
this->SetAdvectionWeight(NumericTraits< ScalarValueType >::OneValue());
this->SetPropagationWeight(NumericTraits< ScalarValueType >::OneValue());
this->SetCurvatureWeight(NumericTraits< ScalarValueType >::OneValue());
}
template< typename TImageType, typename TFeatureImageType >
void CurvesLevelSetFunction< TImageType, TFeatureImageType >
::CalculateSpeedImage()
{
/* copy the feature image into the speed image */
ImageAlgorithm::Copy( this->GetFeatureImage(),
this->GetSpeedImage(),
this->GetFeatureImage()->GetRequestedRegion(),
this->GetFeatureImage()->GetRequestedRegion() );
}
template< typename TImageType, typename TFeatureImageType >
void CurvesLevelSetFunction< TImageType, TFeatureImageType >
::CalculateAdvectionImage()
{
/* compute the gradient of the feature image. */
typename VectorImageType::Pointer gradientImage;
if ( Math::NotAlmostEquals( m_DerivativeSigma, NumericTraits< float >::ZeroValue() ) )
{
typedef GradientRecursiveGaussianImageFilter< FeatureImageType, VectorImageType >
DerivativeFilterType;
typename DerivativeFilterType::Pointer derivative = DerivativeFilterType::New();
derivative->SetInput( this->GetFeatureImage() );
derivative->SetSigma(m_DerivativeSigma);
derivative->Update();
gradientImage = derivative->GetOutput();
}
else
{
typedef GradientImageFilter< FeatureImageType > DerivativeFilterType;
typename DerivativeFilterType::Pointer derivative = DerivativeFilterType::New();
derivative->SetInput( this->GetFeatureImage() );
derivative->SetUseImageSpacingOn();
derivative->Update();
typedef typename DerivativeFilterType::OutputImageType DerivativeOutputImageType;
typedef VectorCastImageFilter< DerivativeOutputImageType, VectorImageType > GradientCasterType;
typename GradientCasterType::Pointer caster = GradientCasterType::New();
caster->SetInput( derivative->GetOutput() );
caster->Update();
gradientImage = caster->GetOutput();
}
/* copy negative gradient into the advection image. */
ImageRegionIterator< VectorImageType >
dit( gradientImage, this->GetFeatureImage()->GetRequestedRegion() );
ImageRegionIterator< VectorImageType >
ait( this->GetAdvectionImage(), this->GetFeatureImage()->GetRequestedRegion() );
for ( dit.GoToBegin(), ait.GoToBegin(); !dit.IsAtEnd(); ++dit, ++ait )
{
typename VectorImageType::PixelType v = dit.Get();
for ( unsigned int j = 0; j < ImageDimension; j++ )
{
v[j] *= -1.0L;
}
ait.Set(v);
}
}
} // end namespace itk
#endif
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