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itkMeanSquaresPointSetToImageMetric.h
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itkMeanSquaresPointSetToImageMetric.h
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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 itkMeanSquaresPointSetToImageMetric_h
#define itkMeanSquaresPointSetToImageMetric_h
#include "itkPointSetToImageMetric.h"
#include "itkCovariantVector.h"
#include "itkPoint.h"
namespace itk
{
/** \class MeanSquaresPointSetToImageMetric
* \brief Computes similarity between pixel values of a point set and
* intensity values of an image.
*
* This metric computes the average squared differences between pixels
* in the point set and the transformed set of pixels.
*
* Spatial correspondance between both images is established through a
* Transform.
*
* \ingroup RegistrationMetrics
* \ingroup ITKRegistrationCommon
*/
template< typename TFixedPointSet, typename TMovingImage >
class ITK_TEMPLATE_EXPORT MeanSquaresPointSetToImageMetric:
public PointSetToImageMetric< TFixedPointSet, TMovingImage >
{
public:
ITK_DISALLOW_COPY_AND_ASSIGN(MeanSquaresPointSetToImageMetric);
/** Standard class type aliases. */
using Self = MeanSquaresPointSetToImageMetric;
using Superclass = PointSetToImageMetric< TFixedPointSet, TMovingImage >;
using Pointer = SmartPointer< Self >;
using ConstPointer = SmartPointer< const Self >;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(MeanSquaresPointSetToImageMetric, Object);
/** Types transferred from the base class */
using RealType = typename Superclass::RealType;
using TransformType = typename Superclass::TransformType;
using TransformPointer = typename Superclass::TransformPointer;
using TransformParametersType = typename Superclass::TransformParametersType;
using TransformJacobianType = typename Superclass::TransformJacobianType;
using GradientPixelType = typename Superclass::GradientPixelType;
using InputPointType = typename Superclass::InputPointType;
using OutputPointType = typename Superclass::OutputPointType;
using MeasureType = typename Superclass::MeasureType;
using DerivativeType = typename Superclass::DerivativeType;
using FixedPointSetType = typename Superclass::FixedPointSetType;
using MovingImageType = typename Superclass::MovingImageType;
using FixedPointSetConstPointer = typename Superclass::FixedPointSetConstPointer;
using MovingImageConstPointer = typename Superclass::MovingImageConstPointer;
using PointIterator = typename Superclass::PointIterator;
using PointDataIterator = typename Superclass::PointDataIterator;
/** Get the derivatives of the match measure. */
void GetDerivative(const TransformParametersType & parameters,
DerivativeType & Derivative) const override;
/** Get the value for single valued optimizers. */
MeasureType GetValue(const TransformParametersType & parameters) const override;
/** Get value and derivatives for multiple valued optimizers. */
void GetValueAndDerivative(const TransformParametersType & parameters,
MeasureType & Value, DerivativeType & Derivative) const override;
protected:
MeanSquaresPointSetToImageMetric() = default;
~MeanSquaresPointSetToImageMetric() override = default;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanSquaresPointSetToImageMetric.hxx"
#endif
#endif