/usr/include/ITK-4.5/itkCannySegmentationLevelSetFunction.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
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*
*=========================================================================*/
#ifndef __itkCannySegmentationLevelSetFunction_hxx
#define __itkCannySegmentationLevelSetFunction_hxx
#include "itkCannySegmentationLevelSetFunction.h"
#include "itkGradientImageFilter.h"
#include "itkMultiplyImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageAlgorithm.h"
namespace itk
{
template< typename TImageType, typename TFeatureImageType >
void CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >
::CalculateSpeedImage()
{
// Create a distance transform to the canny edges
this->CalculateDistanceImage();
// Graft the distance transform into the Speed Image
this->GetSpeedImage()->Graft( m_Distance->GetOutput() );
}
template< typename TImageType, typename TFeatureImageType >
void CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >
::CalculateAdvectionImage()
{
typename GradientImageFilter< ImageType, ScalarValueType, ScalarValueType >::Pointer
gradient = GradientImageFilter< ImageType, ScalarValueType, ScalarValueType >::New();
typedef typename GradientImageFilter< ImageType, ScalarValueType,
ScalarValueType >::OutputImageType CovariantVectorImageType;
typename MultiplyImageFilter< CovariantVectorImageType, ImageType,
CovariantVectorImageType >::Pointer multiply =
MultiplyImageFilter< CovariantVectorImageType, ImageType, CovariantVectorImageType >::New();
// Create a distance transform to the canny edges
this->CalculateDistanceImage();
gradient->SetInput( m_Distance->GetOutput() );
gradient->Update();
multiply->SetInput1( gradient->GetOutput() );
multiply->SetInput2( m_Distance->GetOutput() );
// multiply->GraftOutput(dynamic_cast<CovariantVectorImageType
// *>(this->GetAdvectionImage()));
multiply->Update();
// Copy output to Advection Image
ImageAlgorithm::Copy( multiply->GetOutput(),
this->GetAdvectionImage(),
this->GetAdvectionImage()->GetRequestedRegion(),
this->GetAdvectionImage()->GetRequestedRegion() );
}
template< typename TImageType, typename TFeatureImageType >
void CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >
::CalculateDistanceImage()
{
typename TFeatureImageType::Pointer tempFeature = TFeatureImageType::New();
// The minipipeline might muck with its feature image requested
// region. The rest of the class relies on the feature image requested
// region as specified by the original level set
// filter. We make a temporary shallow copy of feature image to
// build the distance image.
tempFeature->Graft( this->GetFeatureImage() );
// AssignCannyInput either sets up a pipeline through the
// CastImageFilter if TImageType != TFeatureImageType
// or bypasses the Cast operation if TImageType == TFeatureType
typename TImageType::Pointer junk;
this->AssignCannyInput(tempFeature,junk);
m_Canny->SetUpperThreshold(m_Threshold);
m_Canny->SetVariance(m_Variance);
m_Canny->SetMaximumError(0.01);
m_Distance->SetInput( m_Canny->GetOutput() );
m_Distance->GetOutput()->SetRequestedRegion( this->GetSpeedImage()->GetRequestedRegion() );
m_Distance->Update();
}
} // end namespace itk
#endif
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