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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 itkExpectationBasedPointSetToPointSetMetricv4_h
#define itkExpectationBasedPointSetToPointSetMetricv4_h
#include "itkPointSetToPointSetMetricv4.h"
#include "itkPointSet.h"
#include "itkImage.h"
namespace itk
{
/**
* \class ExpectationBasedPointSetToPointSetMetricv4
* \brief Computes an expectation-based metric between two point sets.
*
* This information-theoretic point set measure models each point set
* as a sum of Gaussians. To speed up computation, evaluation of the local
* value/derivative is done in a user-specified neighborhood using the k-d
* tree constructed in the superclass.
*
* Reference:
* Pluta J, Avants BB, Glynn S, Awate S, Gee JC, Detre JA,
* "Appearance and incomplete label matching for diffeomorphic template
* "based hippocampus segmentation", Hippocampus, 2009 Jun; 19(6):565-71.
*
* \ingroup ITKMetricsv4
*/
template <typename TFixedPointSet,
typename TMovingPointSet = TFixedPointSet,
class TInternalComputationValueType = double>
class ITK_TEMPLATE_EXPORT ExpectationBasedPointSetToPointSetMetricv4
: public PointSetToPointSetMetricv4<TFixedPointSet, TMovingPointSet, TInternalComputationValueType>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(ExpectationBasedPointSetToPointSetMetricv4);
/** Standard class type aliases. */
using Self = ExpectationBasedPointSetToPointSetMetricv4;
using Superclass = PointSetToPointSetMetricv4<TFixedPointSet, TMovingPointSet, TInternalComputationValueType>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkSimpleNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(ExpectationBasedPointSetToPointSetMetricv4);
/** Types transferred from the base class */
using typename Superclass::MeasureType;
using typename Superclass::DerivativeType;
using typename Superclass::LocalDerivativeType;
using typename Superclass::PointType;
using typename Superclass::PixelType;
using typename Superclass::CoordRepType;
using typename Superclass::PointIdentifier;
using typename Superclass::NeighborsIdentifierType;
/**
* Calculates the local metric value for a single point.
*/
MeasureType
GetLocalNeighborhoodValue(const PointType &, const PixelType & pixel = 0) const override;
/**
* Calculates the local value and derivative for a single point.
*/
void
GetLocalNeighborhoodValueAndDerivative(const PointType &,
MeasureType &,
LocalDerivativeType &,
const PixelType & pixel = 0) const override;
/**
* Each point is associated with a Gaussian characterized by m_PointSetSigma
* which provides a sense of scale for determining the similarity between two
* point sets. Default = 1.0.
*/
itkSetMacro(PointSetSigma, CoordRepType);
/** Get the point set sigma function */
itkGetConstMacro(PointSetSigma, CoordRepType);
/**
* Set the neighborhood size used to evaluate the measurement at each
* point. Default = 50.
*/
itkSetMacro(EvaluationKNeighborhood, unsigned int);
/**
* Get the neighborhood size used to evaluate the measurement at each
* point. Default = 50.
*/
itkGetConstMacro(EvaluationKNeighborhood, unsigned int);
void
Initialize() override;
/** Clone method will clone the existing instance of this type,
* including its internal member variables. */
typename LightObject::Pointer
InternalClone() const override;
protected:
ExpectationBasedPointSetToPointSetMetricv4();
~ExpectationBasedPointSetToPointSetMetricv4() override = default;
bool
RequiresFixedPointsLocator() const override
{
return false;
}
/** PrintSelf function */
void
PrintSelf(std::ostream & os, Indent indent) const override;
private:
using VectorType = typename PointType::VectorType;
using NeighborsIterator = typename NeighborsIdentifierType::const_iterator;
CoordRepType m_PointSetSigma{};
MeasureType m_PreFactor{};
MeasureType m_Denominator{};
unsigned int m_EvaluationKNeighborhood{ 50 };
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkExpectationBasedPointSetToPointSetMetricv4.hxx"
#endif
#endif
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