/usr/include/InsightToolkit/Algorithms/itkCurvesLevelSetFunction.txx is in libinsighttoolkit3-dev 3.20.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkCurvesLevelSetFunction.txx
Language: C++
Date: $Date$
Version: $Revision$
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 __itkCurvesLevelSetFunction_txx
#define __itkCurvesLevelSetFunction_txx
#include "itkCurvesLevelSetFunction.h"
#include "itkImageRegionIterator.h"
#include "itkGradientRecursiveGaussianImageFilter.h"
#include "itkGradientImageFilter.h"
#include "itkVectorCastImageFilter.h"
namespace itk {
template< class TImageType, class TFeatureImageType>
void
CurvesLevelSetFunction< TImageType,TFeatureImageType>
::Initialize(const RadiusType &r)
{
Superclass::Initialize(r);
this->SetAdvectionWeight( NumericTraits<ScalarValueType>::One );
this->SetPropagationWeight( NumericTraits<ScalarValueType>::One );
this->SetCurvatureWeight( NumericTraits<ScalarValueType>::One );
}
template <class TImageType, class TFeatureImageType>
void CurvesLevelSetFunction<TImageType, TFeatureImageType>
::CalculateSpeedImage()
{
/* copy the feature image into the speed image */
ImageRegionConstIterator<FeatureImageType>
fit(this->GetFeatureImage(), this->GetFeatureImage()->GetRequestedRegion());
ImageRegionIterator<ImageType>
sit(this->GetSpeedImage(), this->GetFeatureImage()->GetRequestedRegion());
for ( fit.GoToBegin(), sit.GoToBegin(); ! fit.IsAtEnd(); ++sit, ++fit)
{
sit.Set( static_cast<ScalarValueType>( fit.Get() ) );
}
}
template <class TImageType, class TFeatureImageType>
void CurvesLevelSetFunction<TImageType, TFeatureImageType>
::CalculateAdvectionImage()
{
/* compute the gradient of the feature image. */
typename VectorImageType::Pointer gradientImage;
if (m_DerivativeSigma != NumericTraits<float>::Zero)
{
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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