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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 itkGPUAnisotropicDiffusionImageFilter_hxx
#define itkGPUAnisotropicDiffusionImageFilter_hxx
#include "itkGPUAnisotropicDiffusionFunction.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage, typename TParentImageFilter>
void
GPUAnisotropicDiffusionImageFilter<TInputImage, TOutputImage, TParentImageFilter>::InitializeIteration()
{
auto * f =
dynamic_cast<GPUAnisotropicDiffusionFunction<UpdateBufferType> *>(this->GetDifferenceFunction().GetPointer());
if (!f)
{
throw ExceptionObject(__FILE__, __LINE__, "GPU anisotropic diffusion function is not set.", ITK_LOCATION);
}
f->SetConductanceParameter(this->GetConductanceParameter());
f->SetTimeStep(this->GetTimeStep());
// Check the timestep for stability
double minSpacing;
if (this->GetUseImageSpacing())
{
const auto & spacing = this->GetInput()->GetSpacing();
minSpacing = spacing[0];
for (unsigned int i = 1; i < ImageDimension; ++i)
{
if (spacing[i] < minSpacing)
{
minSpacing = spacing[i];
}
}
}
else
{
minSpacing = 1.0;
}
if (this->GetTimeStep() > (minSpacing / std::pow(2.0, static_cast<double>(ImageDimension) + 1)))
{
// f->SetTimeStep(1.0 / std::pow(2.0,
// static_cast<double>(ImageDimension)));
itkWarningMacro("Anisotropic diffusion unstable time step: "
<< this->GetTimeStep() << std::endl
<< "Stable time step for this image must be smaller than "
<< minSpacing / std::pow(2.0, static_cast<double>(ImageDimension + 1)));
}
if (this->m_GradientMagnitudeIsFixed == false)
{
if ((this->GetElapsedIterations() % this->GetConductanceScalingUpdateInterval()) == 0)
{
/** GPU version of average squared gradient magnitude calculation */
f->GPUCalculateAverageGradientMagnitudeSquared(this->GetOutput());
}
}
else
{
f->SetAverageGradientMagnitudeSquared(this->GetFixedAverageGradientMagnitude() *
this->GetFixedAverageGradientMagnitude());
}
f->InitializeIteration();
if (this->GetNumberOfIterations() != 0)
{
this->UpdateProgress((static_cast<float>(this->GetElapsedIterations())) /
(static_cast<float>(this->GetNumberOfIterations())));
}
else
{
this->UpdateProgress(0);
}
}
} // end namespace itk
#endif
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