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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 itkGPUAnisotropicDiffusionImageFilter_hxx
#define itkGPUAnisotropicDiffusionImageFilter_hxx
#include "itkGPUAnisotropicDiffusionFunction.h"
#include "itkGPUAnisotropicDiffusionImageFilter.h"
namespace itk
{
/** Prepare for the iteration process. */
template< typename TInputImage, typename TOutputImage, typename TParentImageFilter >
void
GPUAnisotropicDiffusionImageFilter< TInputImage, TOutputImage, TParentImageFilter >
::InitializeIteration()
{
GPUAnisotropicDiffusionFunction< UpdateBufferType > *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() )
{
minSpacing = this->GetInput()->GetSpacing()[0];
for ( unsigned int i = 1; i < ImageDimension; i++ )
{
if ( this->GetInput()->GetSpacing()[i] < minSpacing )
{
minSpacing = this->GetInput()->GetSpacing()[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 magniture calculation */
f->GPUCalculateAverageGradientMagnitudeSquared( this->GetOutput() );
}
}
else
{
f->SetAverageGradientMagnitudeSquared( this->GetFixedAverageGradientMagnitude()
*
this->GetFixedAverageGradientMagnitude() );
}
f->InitializeIteration();
if ( this->GetNumberOfIterations() != 0 )
{
this->UpdateProgress( ( (float)( this->GetElapsedIterations() ) )
/ ( (float)( this->GetNumberOfIterations() ) ) );
}
else
{
this->UpdateProgress(0);
}
}
template< typename TInputImage, typename TOutputImage, typename TParentImageFilter >
void
GPUAnisotropicDiffusionImageFilter< TInputImage, TOutputImage, TParentImageFilter >
::PrintSelf(std::ostream & os, Indent indent) const
{
GPUSuperclass::PrintSelf( os, indent.GetNextIndent() );
}
} // end namespace itk
#endif
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