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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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 elxAdvancedNormalizedCorrelationMetric_h
#define elxAdvancedNormalizedCorrelationMetric_h
#include "elxIncludes.h" // include first to avoid MSVS warning
#include "itkAdvancedNormalizedCorrelationImageToImageMetric.h"
namespace elastix
{
/**
* \class AdvancedNormalizedCorrelationMetric
* \brief An metric based on the itk::AdvancedNormalizedCorrelationImageToImageMetric.
*
* The parameters used in this class are:
* \parameter Metric: Select this metric as follows:\n
* <tt>(Metric "AdvancedNormalizedCorrelation")</tt>
*
* \note The parameter "SubtractMean" is obsolete, and will be ignored. The current elastix version just has the default
* behavior of elastix <= version 5.1.0: For this parameter, the default value was true. This means that the sample mean
* is subtracted from the sample values in the cross correlation formula. This typically results in narrower valleys in
* the cost function.
*
* \ingroup Metrics
*
*/
template <class TElastix>
class ITK_TEMPLATE_EXPORT AdvancedNormalizedCorrelationMetric
: public itk::AdvancedNormalizedCorrelationImageToImageMetric<typename MetricBase<TElastix>::FixedImageType,
typename MetricBase<TElastix>::MovingImageType>
, public MetricBase<TElastix>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(AdvancedNormalizedCorrelationMetric);
/** Standard ITK-stuff. */
using Self = AdvancedNormalizedCorrelationMetric;
using Superclass1 =
itk::AdvancedNormalizedCorrelationImageToImageMetric<typename MetricBase<TElastix>::FixedImageType,
typename MetricBase<TElastix>::MovingImageType>;
using Superclass2 = MetricBase<TElastix>;
using Pointer = itk::SmartPointer<Self>;
using ConstPointer = itk::SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(AdvancedNormalizedCorrelationMetric, itk::AdvancedNormalizedCorrelationImageToImageMetric);
/** Name of this class.
* Use this name in the parameter file to select this specific metric. \n
* example: <tt>(Metric "AdvancedNormalizedCorrelation")</tt>\n
*/
elxClassNameMacro("AdvancedNormalizedCorrelation");
/** Typedefs from the superclass. */
using typename Superclass1::CoordinateRepresentationType;
using typename Superclass1::MovingImageType;
using typename Superclass1::MovingImagePixelType;
using typename Superclass1::MovingImageConstPointer;
using typename Superclass1::FixedImageType;
using typename Superclass1::FixedImageConstPointer;
using typename Superclass1::FixedImageRegionType;
using typename Superclass1::TransformType;
using typename Superclass1::TransformPointer;
using typename Superclass1::InputPointType;
using typename Superclass1::OutputPointType;
using typename Superclass1::TransformParametersType;
using typename Superclass1::TransformJacobianType;
using typename Superclass1::InterpolatorType;
using typename Superclass1::InterpolatorPointer;
using typename Superclass1::RealType;
using typename Superclass1::GradientPixelType;
using typename Superclass1::GradientImageType;
using typename Superclass1::GradientImagePointer;
using typename Superclass1::FixedImageMaskType;
using typename Superclass1::FixedImageMaskPointer;
using typename Superclass1::MovingImageMaskType;
using typename Superclass1::MovingImageMaskPointer;
using typename Superclass1::MeasureType;
using typename Superclass1::DerivativeType;
using typename Superclass1::ParametersType;
using typename Superclass1::FixedImagePixelType;
using typename Superclass1::MovingImageRegionType;
using typename Superclass1::ImageSamplerType;
using typename Superclass1::ImageSamplerPointer;
using typename Superclass1::ImageSampleContainerType;
using typename Superclass1::ImageSampleContainerPointer;
using typename Superclass1::FixedImageLimiterType;
using typename Superclass1::MovingImageLimiterType;
using typename Superclass1::FixedImageLimiterOutputType;
using typename Superclass1::MovingImageLimiterOutputType;
using typename Superclass1::MovingImageDerivativeScalesType;
/** The fixed image dimension. */
itkStaticConstMacro(FixedImageDimension, unsigned int, FixedImageType::ImageDimension);
/** The moving image dimension. */
itkStaticConstMacro(MovingImageDimension, unsigned int, MovingImageType::ImageDimension);
/** Typedef's inherited from Elastix. */
using typename Superclass2::ElastixType;
using typename Superclass2::RegistrationType;
using ITKBaseType = typename Superclass2::ITKBaseType;
/** Execute stuff before each new pyramid resolution:
* \li Set the flag to subtract the mean.
* \li Set the CheckNumberOfSamples setting.
*/
void
BeforeEachResolution() override;
/** Sets up a timer to measure the initialization time and
* calls the Superclass' implementation.
*/
void
Initialize() override;
protected:
/** The constructor. */
AdvancedNormalizedCorrelationMetric() = default;
/** The destructor. */
~AdvancedNormalizedCorrelationMetric() override = default;
private:
elxOverrideGetSelfMacro;
};
} // end namespace elastix
#ifndef ITK_MANUAL_INSTANTIATION
# include "elxAdvancedNormalizedCorrelationMetric.hxx"
#endif
#endif // end #ifndef elxAdvancedNormalizedCorrelationMetric_h
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