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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 itkCorrelationImageToImageMetricv4HelperThreader_hxx
#define itkCorrelationImageToImageMetricv4HelperThreader_hxx
#include "itkCorrelationImageToImageMetricv4HelperThreader.h"
namespace itk
{
template<typename TDomainPartitioner, typename TImageToImageMetric, typename TCorrelationMetric>
CorrelationImageToImageMetricv4HelperThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric>
::CorrelationImageToImageMetricv4HelperThreader() :
m_CorrelationMetricPerThreadVariables( ITK_NULLPTR ),
m_CorrelationAssociate( ITK_NULLPTR )
{}
template<typename TDomainPartitioner, typename TImageToImageMetric, typename TCorrelationMetric>
CorrelationImageToImageMetricv4HelperThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric>
::~CorrelationImageToImageMetricv4HelperThreader()
{
delete[] m_CorrelationMetricPerThreadVariables;
}
template<typename TDomainPartitioner, typename TImageToImageMetric, typename TCorrelationMetric>
void
CorrelationImageToImageMetricv4HelperThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric>
::BeforeThreadedExecution()
{
Superclass::BeforeThreadedExecution();
/* Store the casted pointer to avoid dynamic casting in tight loops. */
this->m_CorrelationAssociate = dynamic_cast<TCorrelationMetric *>(this->m_Associate);
const ThreadIdType numThreadsUsed = this->GetNumberOfThreadsUsed();
delete[] this->m_CorrelationMetricPerThreadVariables;
this->m_CorrelationMetricPerThreadVariables = new AlignedCorrelationMetricPerThreadStruct[ numThreadsUsed ];
//---------------------------------------------------------------
// Set initial values.
for (ThreadIdType i = 0; i < numThreadsUsed; ++i)
{
this->m_CorrelationMetricPerThreadVariables[i].FixSum = NumericTraits<InternalComputationValueType>::ZeroValue();
this->m_CorrelationMetricPerThreadVariables[i].MovSum = NumericTraits<InternalComputationValueType>::ZeroValue();
}
}
template<typename TDomainPartitioner, typename TImageToImageMetric, typename TCorrelationMetric>
void
CorrelationImageToImageMetricv4HelperThreader<TDomainPartitioner,
TImageToImageMetric, TCorrelationMetric>::AfterThreadedExecution()
{
/* Store the number of valid points the enclosing class \c
* m_NumberOfValidPoints by collecting the valid points per thread. */
this->m_CorrelationAssociate->m_NumberOfValidPoints = NumericTraits<SizeValueType>::ZeroValue();
const ThreadIdType numThreadsUsed = this->GetNumberOfThreadsUsed();
for (ThreadIdType i = 0; i < numThreadsUsed; ++i)
{
this->m_CorrelationAssociate->m_NumberOfValidPoints += this->m_GetValueAndDerivativePerThreadVariables[i].NumberOfValidPoints;
}
if (this->m_CorrelationAssociate->m_NumberOfValidPoints <= 0 )
{
itkWarningMacro("collected only zero points");
return;
}
InternalComputationValueType sumF = NumericTraits<InternalComputationValueType>::ZeroValue();
InternalComputationValueType sumM = NumericTraits<InternalComputationValueType>::ZeroValue();
for (ThreadIdType threadId = 0; threadId < numThreadsUsed; ++threadId)
{
sumF += this->m_CorrelationMetricPerThreadVariables[threadId].FixSum;
sumM += this->m_CorrelationMetricPerThreadVariables[threadId].MovSum;
}
this->m_CorrelationAssociate->m_AverageFix = sumF / this->m_CorrelationAssociate->m_NumberOfValidPoints;
this->m_CorrelationAssociate->m_AverageMov = sumM / this->m_CorrelationAssociate->m_NumberOfValidPoints;
}
template<typename TDomainPartitioner, typename TImageToImageMetric, typename TCorrelationMetric>
bool
CorrelationImageToImageMetricv4HelperThreader<TDomainPartitioner,
TImageToImageMetric, TCorrelationMetric>
::ProcessVirtualPoint( const VirtualIndexType & itkNotUsed(virtualIndex), const VirtualPointType & virtualPoint, const ThreadIdType threadId )
{
FixedImagePointType mappedFixedPoint;
FixedImagePixelType mappedFixedPixelValue;
MovingImagePointType mappedMovingPoint;
MovingImagePixelType mappedMovingPixelValue;
bool pointIsValid = false;
/* Transform the point into fixed and moving spaces, and evaluate.
* Different behavior with pre-warping enabled is handled transparently.
* Do this in a try block to catch exceptions and print more useful info
* then we otherwise get when exceptions are caught in MultiThreader. */
try
{
pointIsValid = this->m_CorrelationAssociate->TransformAndEvaluateFixedPoint( virtualPoint, mappedFixedPoint, mappedFixedPixelValue );
}
catch( ExceptionObject & exc )
{
//NOTE: there must be a cleaner way to do this:
std::string msg("Caught exception: \n");
msg += exc.what();
ExceptionObject err(__FILE__, __LINE__, msg);
throw err;
}
if( !pointIsValid )
{
return pointIsValid;
}
try
{
pointIsValid = this->m_CorrelationAssociate->TransformAndEvaluateMovingPoint( virtualPoint, mappedMovingPoint, mappedMovingPixelValue );
}
catch( ExceptionObject & exc )
{
std::string msg("Caught exception: \n");
msg += exc.what();
ExceptionObject err(__FILE__, __LINE__, msg);
throw err;
}
if( !pointIsValid )
{
return pointIsValid;
}
/* Do the specific calculations for values */
try
{
this->m_CorrelationMetricPerThreadVariables[threadId].FixSum += mappedFixedPixelValue;
this->m_CorrelationMetricPerThreadVariables[threadId].MovSum += mappedMovingPixelValue;
}
catch( ExceptionObject & exc )
{
std::string msg("Exception in ProcessVirtualPoint:\n");
msg += exc.what();
ExceptionObject err(__FILE__, __LINE__, msg);
throw err;
}
if( pointIsValid )
{
this->m_GetValueAndDerivativePerThreadVariables[threadId].NumberOfValidPoints++;
}
return pointIsValid;
}
} // end namespace itk
#endif
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