/usr/include/ITK-4.5/itkThresholdSegmentationLevelSetFunction.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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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 __itkThresholdSegmentationLevelSetFunction_hxx
#define __itkThresholdSegmentationLevelSetFunction_hxx
#include "itkThresholdSegmentationLevelSetFunction.h"
#include "itkImageRegionIterator.h"
#include "itkGradientAnisotropicDiffusionImageFilter.h"
#include "itkLaplacianImageFilter.h"
#include "itkImageFileWriter.h"
namespace itk
{
template< typename TImageType, typename TFeatureImageType >
void ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >
::CalculateSpeedImage()
{
typename GradientAnisotropicDiffusionImageFilter< TFeatureImageType, TFeatureImageType >::Pointer
diffusion = GradientAnisotropicDiffusionImageFilter< TFeatureImageType, TFeatureImageType >::New();
typename LaplacianImageFilter< TFeatureImageType, TFeatureImageType >::Pointer
laplacian = LaplacianImageFilter< TFeatureImageType, TFeatureImageType >::New();
ImageRegionIterator< FeatureImageType > lit;
ImageRegionConstIterator< FeatureImageType >
fit( this->GetFeatureImage(), this->GetFeatureImage()->GetRequestedRegion() );
ImageRegionIterator< ImageType >
sit( this->GetSpeedImage(), this->GetFeatureImage()->GetRequestedRegion() );
if ( m_EdgeWeight != 0.0 )
{
diffusion->SetInput( this->GetFeatureImage() );
diffusion->SetConductanceParameter(m_SmoothingConductance);
diffusion->SetTimeStep(m_SmoothingTimeStep);
diffusion->SetNumberOfIterations(m_SmoothingIterations);
laplacian->SetInput( diffusion->GetOutput() );
laplacian->Update();
lit = ImageRegionIterator< FeatureImageType >( laplacian->GetOutput(),
this->GetFeatureImage()->GetRequestedRegion() );
lit.GoToBegin();
}
// Copy the meta information (spacing and origin) from the feature image
this->GetSpeedImage()->CopyInformation( this->GetFeatureImage() );
// Calculate the speed image
ScalarValueType upper_threshold = static_cast< ScalarValueType >( m_UpperThreshold );
ScalarValueType lower_threshold = static_cast< ScalarValueType >( m_LowerThreshold );
ScalarValueType mid = ( ( upper_threshold - lower_threshold ) / 2.0 ) + lower_threshold;
ScalarValueType threshold;
for ( fit.GoToBegin(), sit.GoToBegin(); !fit.IsAtEnd(); ++sit, ++fit )
{
if ( static_cast< ScalarValueType >( fit.Get() ) < mid )
{
threshold = fit.Get() - lower_threshold;
}
else
{
threshold = upper_threshold - fit.Get();
}
if ( m_EdgeWeight != 0.0 )
{
sit.Set( static_cast< ScalarValueType >( threshold + m_EdgeWeight * lit.Get() ) );
++lit;
}
else
{
sit.Set( static_cast< ScalarValueType >( threshold ) );
}
}
}
} // end namespace itk
#endif
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