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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkCannySegmentationLevelSetFunction.txx,v $
Language: C++
Date: $Date: 2006-04-12 07:31:14 $
Version: $Revision: 1.10 $
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 __itkCannySegmentationLevelSetFunction_txx_
#define __itkCannySegmentationLevelSetFunction_txx_
#include "itkCannySegmentationLevelSetFunction.h"
#include "itkGradientImageFilter.h"
#include "itkMultiplyImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
namespace itk {
template <class TImageType, class 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 <class TImageType, class 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
ImageRegionIterator<VectorImageType> it(this->GetAdvectionImage(),
this->GetAdvectionImage()->GetRequestedRegion());
ImageRegionConstIterator<CovariantVectorImageType> it_a(multiply->GetOutput(),
this->GetAdvectionImage()->GetRequestedRegion());
for (; ! it.IsAtEnd(); ++it, ++it_a)
{
it.Set(it_a.Get());
}
}
template <class TImageType, class 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());
// Only cast if we need to
if ( typeid(TImageType) == typeid(TFeatureImageType))
{
m_Canny->SetInput(tempFeature);
}
else
{
m_Caster->SetInput(tempFeature);
m_Canny->SetInput(m_Caster->GetOutput());
}
m_Canny->SetUpperThreshold(m_Threshold);
m_Canny->SetVariance(m_Variance);
m_Canny->SetMaximumError(0.01);
m_Canny->SetOutsideValue(NumericTraits<ScalarValueType>::Zero);
m_Distance->SetInput(m_Canny->GetOutput());
m_Distance->GetOutput()->SetRequestedRegion(this->GetSpeedImage()->GetRequestedRegion());
m_Distance->Update();
}
} // end namespace itk
#endif
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