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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 itkSegmentationLevelSetImageFilter_hxx
#define itkSegmentationLevelSetImageFilter_hxx
#include "itkSegmentationLevelSetImageFilter.h"
#include "itkMath.h"
namespace itk
{
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType >
void
SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "m_ReverseExpansionDirection = " << m_ReverseExpansionDirection << std::endl;
os << indent << "m_AutoGenerateSpeedAdvection = " << m_AutoGenerateSpeedAdvection << std::endl;
os << indent << "m_SegmentationFunction = " << m_SegmentationFunction << std::endl;
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType >
SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >
::SegmentationLevelSetImageFilter()
{
this->SetNumberOfRequiredInputs(2);
this->SetNumberOfLayers(TInputImage::ImageDimension);
m_SegmentationFunction = ITK_NULLPTR;
m_AutoGenerateSpeedAdvection = true;
this->SetIsoSurfaceValue(NumericTraits< ValueType >::ZeroValue());
// Provide some reasonable defaults which will at least prevent infinite
// looping.
this->SetMaximumRMSError(0.02);
this->SetNumberOfIterations(1000);
m_ReverseExpansionDirection = false;
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType >
void
SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >
::GenerateSpeedImage()
{
m_SegmentationFunction->AllocateSpeedImage();
m_SegmentationFunction->CalculateSpeedImage();
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType >
void
SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >
::GenerateAdvectionImage()
{
m_SegmentationFunction->AllocateAdvectionImage();
m_SegmentationFunction->CalculateAdvectionImage();
}
template< typename TInputImage, typename TFeatureImage, typename TOutputPixelType >
void
SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >
::GenerateData()
{
if ( m_SegmentationFunction == ITK_NULLPTR )
{
itkExceptionMacro("No finite difference function was specified.");
}
// A positive speed value causes surface expansion, the opposite of the
// default. Flip the sign of the propagation and advection weights.
if ( m_ReverseExpansionDirection == true )
{
this->GetSegmentationFunction()->ReverseExpansionDirection();
}
// Allocate the images from which speeds will be sampled.
// if it is uninitialized and AutoGenerateSpeedAvection is true
if ( !this->m_IsInitialized && m_AutoGenerateSpeedAdvection == true )
{
if ( Math::NotExactlyEquals(this->GetSegmentationFunction()->GetPropagationWeight(), 0) )
{
this->GenerateSpeedImage();
}
if ( Math::NotExactlyEquals(this->GetSegmentationFunction()->GetAdvectionWeight(), 0) )
{
this->GenerateAdvectionImage();
}
}
// Start the solver
Superclass::GenerateData();
// Reset all the signs of the weights.
if ( m_ReverseExpansionDirection == true )
{
this->GetSegmentationFunction()->ReverseExpansionDirection();
}
}
} // end namespace itk
#endif
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