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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 itkCorrelationImageToImageMetricv4HelperThreader_h
#define itkCorrelationImageToImageMetricv4HelperThreader_h
#include "itkImageToImageMetricv4GetValueAndDerivativeThreader.h"
#include <memory> // For unique_ptr.
namespace itk
{
/** \class CorrelationImageToImageMetricv4GetValueAndDerivativeThreader
* \brief Helper class for CorrelationImageToImageMetricv4 \c
* To compute the average pixel intensities of the fixed image and the moving image
* on the sampled points or inside the virtual image region:
* \f$ \bar f (CorrelationImageToImageMetricv4::m_AverageFix ) \f$
* \f$ \bar m (CorrelationImageToImageMetricv4::m_AverageMov ) \f$
*
* \ingroup ITKMetricsv4
*/
template <typename TDomainPartitioner, typename TImageToImageMetric, typename TCorrelationMetric>
class ITK_TEMPLATE_EXPORT CorrelationImageToImageMetricv4HelperThreader
: public ImageToImageMetricv4GetValueAndDerivativeThreader<TDomainPartitioner, TImageToImageMetric>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(CorrelationImageToImageMetricv4HelperThreader);
/** Standard class type aliases. */
using Self = CorrelationImageToImageMetricv4HelperThreader;
using Superclass = ImageToImageMetricv4GetValueAndDerivativeThreader<TDomainPartitioner, TImageToImageMetric>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
itkOverrideGetNameOfClassMacro(CorrelationImageToImageMetricv4HelperThreader);
itkNewMacro(Self);
using typename Superclass::DomainType;
using typename Superclass::AssociateType;
using ImageToImageMetricv4Type = typename Superclass::ImageToImageMetricv4Type;
using typename Superclass::VirtualIndexType;
using typename Superclass::VirtualPointType;
using typename Superclass::FixedImagePointType;
using typename Superclass::FixedImagePixelType;
using typename Superclass::FixedImageGradientType;
using typename Superclass::MovingImagePointType;
using typename Superclass::MovingImagePixelType;
using typename Superclass::MovingImageGradientType;
using typename Superclass::MeasureType;
using typename Superclass::DerivativeType;
using typename Superclass::DerivativeValueType;
using typename Superclass::InternalComputationValueType;
using typename Superclass::NumberOfParametersType;
using typename Superclass::FixedOutputPointType;
using typename Superclass::MovingOutputPointType;
protected:
CorrelationImageToImageMetricv4HelperThreader();
~CorrelationImageToImageMetricv4HelperThreader() override = default;
/** Overload: Resize and initialize per thread objects. */
void
BeforeThreadedExecution() override;
/** Overload:
* Collects the results from each thread and sums them. Results are stored
* in the enclosing class \c m_Value and \c m_DerivativeResult. Behavior
* depends on m_AverageValueAndDerivativeByNumberOfValuePoints,
* m_NumberOfValidPoints, to average the value sum, and to average
* derivative sums for global transforms only (i.e. transforms without local
* support). */
void
AfterThreadedExecution() override;
/* Overload: don't need to compute the image gradients and store derivatives
*
* Method called by the threaders to process the given virtual point. This
* in turn calls \c TransformAndEvaluateFixedPoint, \c
* TransformAndEvaluateMovingPoint, and \c ProcessPoint.
*/
bool
ProcessVirtualPoint(const VirtualIndexType & virtualIndex,
const VirtualPointType & virtualPoint,
const ThreadIdType threadId) override;
/**
* Not using. All processing is done in ProcessVirtualPoint.
*/
bool
ProcessPoint(const VirtualIndexType &,
const VirtualPointType &,
const FixedImagePointType &,
const FixedImagePixelType &,
const FixedImageGradientType &,
const MovingImagePointType &,
const MovingImagePixelType &,
const MovingImageGradientType &,
MeasureType &,
DerivativeType &,
const ThreadIdType) const override
{
return false;
}
private:
struct CorrelationMetricPerThreadStruct
{
InternalComputationValueType FixSum;
InternalComputationValueType MovSum;
};
itkPadStruct(ITK_CACHE_LINE_ALIGNMENT, CorrelationMetricPerThreadStruct, PaddedCorrelationMetricPerThreadStruct);
itkAlignedTypedef(ITK_CACHE_LINE_ALIGNMENT,
PaddedCorrelationMetricPerThreadStruct,
AlignedCorrelationMetricPerThreadStruct);
/* per thread variables for correlation and its derivatives */
std::unique_ptr<AlignedCorrelationMetricPerThreadStruct[]> m_CorrelationMetricPerThreadVariables;
/** Internal pointer to the metric object in use by this threader.
* This will avoid costly dynamic casting in tight loops. */
TCorrelationMetric * m_CorrelationAssociate{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkCorrelationImageToImageMetricv4HelperThreader.hxx"
#endif
#endif
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