itkRegistrationParameterScalesEstimator.h

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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 itkRegistrationParameterScalesEstimator_h
#define itkRegistrationParameterScalesEstimator_h
 
#include "itkTransform.h"
#include "itkMatrixOffsetTransformBase.h"
#include "itkTranslationTransform.h"
#include "itkIdentityTransform.h"
#include "itkRigid3DPerspectiveTransform.h"
 
#include "itkOptimizerParameterScalesEstimator.h"
#include "itkImageRandomConstIteratorWithIndex.h"
#include "itkImageRegionConstIteratorWithIndex.h"
#include "ITKOptimizersv4Export.h"
 
namespace itk
{
class RegistrationParameterScalesEstimatorEnums
{
public:
  enum class SamplingStrategy : uint8_t
  {
    FullDomainSampling = 0,
    CornerSampling,
    RandomSampling,
    CentralRegionSampling,
    VirtualDomainPointSetSampling
  };
};
using SamplingStrategyEnum = RegistrationParameterScalesEstimatorEnums::SamplingStrategy;
// Define how to print enumeration
extern ITKOptimizersv4_EXPORT std::ostream &
                              operator<<(std::ostream & out, const RegistrationParameterScalesEstimatorEnums::SamplingStrategy value);
 
template <typename TMetric>
class ITK_TEMPLATE_EXPORT RegistrationParameterScalesEstimator
  : public OptimizerParameterScalesEstimatorTemplate<typename TMetric::ParametersValueType>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(RegistrationParameterScalesEstimator);
 
  using Self = RegistrationParameterScalesEstimator;
  using Superclass = OptimizerParameterScalesEstimatorTemplate<typename TMetric::ParametersValueType>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkTypeMacro(RegistrationParameterScalesEstimator, OptimizerParameterScalesEstimatorTemplate);
 
  using typename Superclass::ScalesType;
 
  using typename Superclass::ParametersType;
 
  using typename Superclass::FloatType;
 
  using MetricType = TMetric;
  using MetricPointer = typename MetricType::Pointer;
  using MetricConstPointer = typename MetricType::ConstPointer;
 
  using FixedTransformType = typename MetricType::FixedTransformType;
  using FixedTransformConstPointer = typename FixedTransformType::ConstPointer;
 
  using MovingTransformType = typename MetricType::MovingTransformType;
  using MovingTransformConstPointer = typename MovingTransformType::ConstPointer;
 
  static constexpr SizeValueType FixedDimension = TMetric::FixedDimension;
  static constexpr SizeValueType MovingDimension = TMetric::MovingDimension;
  static constexpr SizeValueType VirtualDimension = TMetric::VirtualDimension;
 
  using VirtualImageType = typename TMetric::VirtualImageType;
  using VirtualImageConstPointer = typename TMetric::VirtualImageConstPointer;
  using VirtualImagePointer = typename TMetric::VirtualImagePointer;
  using VirtualSpacingType = typename TMetric::VirtualSpacingType;
  using VirtualRegionType = typename TMetric::VirtualRegionType;
  using VirtualSizeType = typename TMetric::VirtualSizeType;
  using VirtualPointType = typename TMetric::VirtualPointType;
  using VirtualIndexType = typename TMetric::VirtualIndexType;
 
  using VirtualPointSetType = typename TMetric::VirtualPointSetType;
  using VirtualPointSetPointer = typename TMetric::VirtualPointSetPointer;
 
  using SamplingStrategyType = SamplingStrategyEnum;
#if !defined(ITK_LEGACY_REMOVE)
  // We need to expose the enum values at the class level
  // for backwards compatibility
  static constexpr SamplingStrategyType FullDomainSampling = SamplingStrategyType::FullDomainSampling;
  static constexpr SamplingStrategyType CornerSampling = SamplingStrategyType::CornerSampling;
  static constexpr SamplingStrategyType RandomSampling = SamplingStrategyType::RandomSampling;
  static constexpr SamplingStrategyType CentralRegionSampling = SamplingStrategyType::CentralRegionSampling;
  static constexpr SamplingStrategyType VirtualDomainPointSetSampling =
    SamplingStrategyType::VirtualDomainPointSetSampling;
#endif
 
  using SamplePointContainerType = std::vector<VirtualPointType>;
 
  using JacobianType = typename TMetric::JacobianType;
 
  itkSetObjectMacro(Metric, MetricType);
 
  itkSetMacro(TransformForward, bool);
  itkGetConstMacro(TransformForward, bool);
  itkSetObjectMacro(VirtualDomainPointSet, VirtualPointSetType);
  itkSetConstObjectMacro(VirtualDomainPointSet, VirtualPointSetType);
  itkGetConstObjectMacro(VirtualDomainPointSet, VirtualPointSetType);
  itkSetMacro(CentralRegionRadius, IndexValueType);
 
  void
  EstimateScales(ScalesType & scales) override = 0;
 
  FloatType
  EstimateStepScale(const ParametersType & step) override = 0;
 
  void
  EstimateLocalStepScales(const ParametersType & step, ScalesType & localStepScales) override = 0;
 
  FloatType
  EstimateMaximumStepSize() override;
 
  virtual void
  SetScalesSamplingStrategy();
 
  virtual void
  SetStepScaleSamplingStrategy();
 
protected:
  RegistrationParameterScalesEstimator();
  ~RegistrationParameterScalesEstimator() override = default;
 
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  bool
  CheckAndSetInputs();
 
  itkSetMacro(NumberOfRandomSamples, SizeValueType);
 
  itkSetMacro(SamplingStrategy, SamplingStrategyType);
 
  bool
  CheckGeneralAffineTransform();
 
  template <typename TTransform>
  bool
  CheckGeneralAffineTransformTemplated();
 
  template <typename TTargetPointType>
  void
  TransformPoint(const VirtualPointType & point, TTargetPointType & mappedPoint);
 
  template <typename TContinuousIndexType>
  void
  TransformPointToContinuousIndex(const VirtualPointType & point, TContinuousIndexType & mappedIndex);
 
  void
  ComputeSquaredJacobianNorms(const VirtualPointType & point, ParametersType & squareNorms);
 
  bool
  TransformHasLocalSupportForScalesEstimation();
 
  bool
  IsDisplacementFieldTransform();
 
  bool
  IsBSplineTransform();
 
  SizeValueType
  GetNumberOfLocalParameters();
 
  void
  UpdateTransformParameters(const ParametersType & deltaParameters);
 
  virtual void
  SampleVirtualDomain();
 
  void
  SampleVirtualDomainFully();
 
  void
  SampleVirtualDomainWithCorners();
 
  void
  SampleVirtualDomainRandomly();
 
  void
  SampleVirtualDomainWithCentralRegion();
 
  void
  SampleVirtualDomainWithRegion(VirtualRegionType region);
 
  void
  SampleVirtualDomainWithPointSet();
 
  VirtualIndexType
  GetVirtualDomainCentralIndex();
 
  VirtualRegionType
  GetVirtualDomainCentralRegion();
 
  const TransformBaseTemplate<typename TMetric::MeasureType> *
  GetTransform();
 
  SizeValueType
  GetDimension();
 
  itkGetMacro(SamplingStrategy, SamplingStrategyType);
 
  MetricPointer m_Metric{};
 
  SamplePointContainerType m_SamplePoints{};
 
  mutable TimeStamp m_SamplingTime{};
 
  SizeValueType m_NumberOfRandomSamples{};
 
  IndexValueType m_CentralRegionRadius{};
 
  typename VirtualPointSetType::ConstPointer m_VirtualDomainPointSet{};
 
  // the threshold to decide if the number of random samples uses logarithm
  static constexpr SizeValueType SizeOfSmallDomain = 1000;
 
private:
  bool m_TransformForward{};
 
  // sampling strategy
  SamplingStrategyType m_SamplingStrategy{};
 
}; // class RegistrationParameterScalesEstimator
} // namespace itk
 
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkRegistrationParameterScalesEstimator.hxx"
#endif
 
#endif /* itkRegistrationParameterScalesEstimator_h */