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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 "itkMath.h"
namespace itk
{
template <typename TInputImage, typename TFeatureImage, typename TOutputPixelType>
SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>::SegmentationLevelSetImageFilter()
{
// #0 "InitialImage" required
Self::SetPrimaryInputName("InitialImage");
// #1 "FeatureImage" required
Self::AddRequiredInputName("FeatureImage", 1);
this->SetNumberOfRequiredInputs(2);
this->SetNumberOfLayers(TInputImage::ImageDimension);
m_SegmentationFunction = nullptr;
m_AutoGenerateSpeedAdvection = true;
this->SetIsoSurfaceValue(ValueType{});
// 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 == 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)
{
this->GetSegmentationFunction()->ReverseExpansionDirection();
}
// Allocate the images from which speeds will be sampled.
// if it is uninitialized and AutoGenerateSpeedAdvection is true
if (!this->m_IsInitialized && m_AutoGenerateSpeedAdvection)
{
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)
{
this->GetSegmentationFunction()->ReverseExpansionDirection();
}
}
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 << "ReverseExpansionDirection: " << (m_ReverseExpansionDirection ? "On" : "Off") << std::endl;
os << indent << "AutoGenerateSpeedAdvection: " << (m_AutoGenerateSpeedAdvection ? "On" : "Off") << std::endl;
os << indent << "SegmentationFunction: ";
if (m_SegmentationFunction != nullptr)
{
os << m_SegmentationFunction << std::endl;
}
else
{
os << "(null)" << std::endl;
}
}
} // end namespace itk
#endif
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