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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 itkCorrelationImageToImageMetricv4GetValueAndDerivativeThreader_h
#define itkCorrelationImageToImageMetricv4GetValueAndDerivativeThreader_h
#include "itkImageToImageMetricv4GetValueAndDerivativeThreader.h"
namespace itk
{
/** \class CorrelationImageToImageMetricv4GetValueAndDerivativeThreader
* \brief Processes points for CorrelationImageToImageMetricv4 \c
* GetValueAndDerivative.
*
* \ingroup ITKMetricsv4
*/
template < typename TDomainPartitioner, typename TImageToImageMetric, typename TCorrelationMetric >
class ITK_TEMPLATE_EXPORT CorrelationImageToImageMetricv4GetValueAndDerivativeThreader
: public ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric >
{
public:
/** Standard class typedefs. */
typedef CorrelationImageToImageMetricv4GetValueAndDerivativeThreader Self;
typedef ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
itkTypeMacro( CorrelationImageToImageMetricv4GetValueAndDerivativeThreader, ImageToImageMetricv4GetValueAndDerivativeThreader );
itkNewMacro( Self );
typedef typename Superclass::DomainType DomainType;
typedef typename Superclass::AssociateType AssociateType;
typedef typename Superclass::ImageToImageMetricv4Type ImageToImageMetricv4Type;
typedef typename Superclass::VirtualIndexType VirtualIndexType;
typedef typename Superclass::VirtualPointType VirtualPointType;
typedef typename Superclass::FixedImagePointType FixedImagePointType;
typedef typename Superclass::FixedImagePixelType FixedImagePixelType;
typedef typename Superclass::FixedImageGradientType FixedImageGradientType;
typedef typename Superclass::MovingImagePointType MovingImagePointType;
typedef typename Superclass::MovingImagePixelType MovingImagePixelType;
typedef typename Superclass::MovingImageGradientType MovingImageGradientType;
typedef typename Superclass::MeasureType MeasureType;
typedef typename Superclass::DerivativeType DerivativeType;
typedef typename Superclass::DerivativeValueType DerivativeValueType;
typedef typename ImageToImageMetricv4Type::FixedTransformType FixedTransformType;
typedef typename FixedTransformType::OutputPointType FixedOutputPointType;
typedef typename ImageToImageMetricv4Type::MovingTransformType MovingTransformType;
typedef typename MovingTransformType::OutputPointType MovingOutputPointType;
typedef typename Superclass::InternalComputationValueType InternalComputationValueType;
typedef typename Superclass::NumberOfParametersType NumberOfParametersType;
protected:
CorrelationImageToImageMetricv4GetValueAndDerivativeThreader();
virtual ~CorrelationImageToImageMetricv4GetValueAndDerivativeThreader() ITK_OVERRIDE;
/** Overload: Resize and initialize per thread objects:
* number of valid points
* moving transform jacobian
* cross-correlation specific variables
* */
virtual void BeforeThreadedExecution() ITK_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). */
virtual void AfterThreadedExecution() ITK_OVERRIDE;
/** Overload to avoid execution of adding entries to m_MeasurePerThread
* StorePointDerivativeResult() after this function calls ProcessPoint().
* Method called by the threaders to process the given virtual point. This
* in turn calls \c TransformAndEvaluateFixedPoint, \c
* TransformAndEvaluateMovingPoint, and \c ProcessPoint. */
virtual bool ProcessVirtualPoint( const VirtualIndexType & virtualIndex,
const VirtualPointType & virtualPoint,
const ThreadIdType threadId ) ITK_OVERRIDE;
/** This function computes the local voxel-wise contribution of
* the metric to the global integral of the metric/derivative.
*/
virtual bool ProcessPoint(const VirtualIndexType & virtualIndex,
const VirtualPointType & virtualPoint,
const FixedImagePointType & mappedFixedPoint,
const FixedImagePixelType & mappedFixedPixelValue,
const FixedImageGradientType & mappedFixedImageGradient,
const MovingImagePointType & mappedMovingPoint,
const MovingImagePixelType & mappedMovingPixelValue,
const MovingImageGradientType & mappedMovingImageGradient,
MeasureType & metricValueReturn,
DerivativeType & localDerivativeReturn,
const ThreadIdType threadId ) const ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(CorrelationImageToImageMetricv4GetValueAndDerivativeThreader);
/*
* the per-thread memory for computing the correlation and its derivatives
* \bar f (CorrelationImageToImageMetricv4::m_AverageFix ) and
* \bar m (CorrelationImageToImageMetricv4::m_AverageMov ), the average pixel
* intensity, computed using the helper
* class CorrelationHelperImageToImageMetricv4GetValueAndDerivativeThreader.
* say f_i is the i-th pixel of fixed image, m_i is the i-th pixel of moving
* image: see the comments below
*/
struct CorrelationMetricValueDerivativePerThreadStruct{ // keep cumlative summation over points for:
InternalComputationValueType fm; // (f_i - \bar f) * (m_i - \bar m)
InternalComputationValueType m2; // (m_i - \bar m)^2
InternalComputationValueType f2; // (f_i - \bar m)^2
InternalComputationValueType m; // m_i
InternalComputationValueType f; // f_i
DerivativeType fdm; // (f_i - \bar f) * dm_i/dp
DerivativeType mdm; // (m_i - \bar m) * dm_i/dp
};
itkPadStruct( ITK_CACHE_LINE_ALIGNMENT, CorrelationMetricValueDerivativePerThreadStruct,
PaddedCorrelationMetricValueDerivativePerThreadStruct);
itkAlignedTypedef( ITK_CACHE_LINE_ALIGNMENT, PaddedCorrelationMetricValueDerivativePerThreadStruct,
AlignedCorrelationMetricValueDerivativePerThreadStruct );
/* per thread variables for correlation and its derivatives */
mutable AlignedCorrelationMetricValueDerivativePerThreadStruct * m_CorrelationMetricValueDerivativePerThreadVariables;
/** 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 "itkCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.hxx"
#endif
#endif
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