otbPCAImageFilter.h

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/*
 * Copyright (C) 2005-2024 Centre National d'Etudes Spatiales (CNES)
 *
 * This file is part of Orfeo Toolbox
 *
 *     https://www.orfeo-toolbox.org/
 *
 * 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
 *
 * 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 otbPCAImageFilter_h
#define otbPCAImageFilter_h
 
#include "otbMacro.h"
#include "otbMatrixImageFilter.h"
#include "otbNormalizeVectorImageFilter.h"
 
 
namespace otb
{
 
namespace Transform
{
enum TransformDirection
{
  FORWARD = 0,
  INVERSE = 1
};
}
 
template <class TInputImage, class TOutputImage, Transform::TransformDirection TDirectionOfTransformation>
class ITK_EXPORT PCAImageFilter : public itk::ImageToImageFilter<TInputImage, TOutputImage>
{
public:
  typedef PCAImageFilter Self;
  typedef itk::ImageToImageFilter<TInputImage, TOutputImage> Superclass;
  typedef itk::SmartPointer<Self>       Pointer;
  typedef itk::SmartPointer<const Self> ConstPointer;
 
  itkNewMacro(Self);
 
  itkTypeMacro(PCAImageFilter, ImageToImageFilter);
 
  itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
  itkStaticConstMacro(OutputImageDimension, unsigned int, TOutputImage::ImageDimension);
 
  typedef Transform::TransformDirection TransformDirectionEnumType;
  itkStaticConstMacro(DirectionOfTransformation, TransformDirectionEnumType, TDirectionOfTransformation);
 
  typedef TInputImage  InputImageType;
  typedef TOutputImage OutputImageType;
 
  typedef StreamingStatisticsVectorImageFilter<InputImageType> CovarianceEstimatorFilterType;
  typedef typename CovarianceEstimatorFilterType::Pointer      CovarianceEstimatorFilterPointerType;
 
  typedef typename CovarianceEstimatorFilterType::RealType         RealType;
  typedef typename CovarianceEstimatorFilterType::RealPixelType    VectorType;
  typedef typename CovarianceEstimatorFilterType::MatrixObjectType MatrixObjectType;
  typedef typename MatrixObjectType::ComponentType                 MatrixType;
  typedef typename MatrixType::InternalMatrixType                  InternalMatrixType;
  typedef typename InternalMatrixType::element_type                MatrixElementType;
 
  typedef MatrixImageFilter<TInputImage, TOutputImage> TransformFilterType;
  typedef typename TransformFilterType::Pointer TransformFilterPointerType;
 
  typedef NormalizeVectorImageFilter<TInputImage, TOutputImage> NormalizeFilterType;
  typedef typename NormalizeFilterType::Pointer NormalizeFilterPointerType;
 
  itkSetMacro(NumberOfPrincipalComponentsRequired, unsigned int);
  itkGetMacro(NumberOfPrincipalComponentsRequired, unsigned int);
 
  itkSetMacro(Whitening, bool);
  itkGetMacro(Whitening, bool);
 
  itkGetMacro(CovarianceEstimator, CovarianceEstimatorFilterType*);
  itkGetMacro(Transformer, TransformFilterType*);
 
  itkGetMacro(GivenCovarianceMatrix, bool);
  MatrixType GetCovarianceMatrix() const
  {
    if (m_GivenCovarianceMatrix)
      return m_CovarianceMatrix;
    else
      return this->GetCovarianceEstimator()->GetCovariance();
  }
 
  void SetCovarianceMatrix(const MatrixType& cov)
  {
    m_CovarianceMatrix      = cov;
    m_GivenCovarianceMatrix = true;
    this->Modified();
  }
 
  itkGetMacro(TransformationMatrix, MatrixType);
  itkGetMacro(GivenTransformationMatrix, bool);
  void SetTransformationMatrix(const MatrixType& transf, bool isForward = true)
  {
    m_TransformationMatrix          = transf;
    m_GivenTransformationMatrix     = true;
    m_IsTransformationMatrixForward = isForward;
    this->Modified();
  }
 
  itkGetConstMacro(EigenValues, VectorType);
 
  itkGetMacro(UseNormalization, bool);
  void SetUseNormalization(bool norm)
  {
    m_UseNormalization            = norm;
    m_UseVarianceForNormalization = norm;
    this->Modified();
  }
 
  itkGetConstMacro(MeanValues, VectorType);
  void SetMeanValues(const VectorType& data)
  {
    m_UseNormalization = true;
    m_GivenMeanValues  = true;
    m_MeanValues       = data;
    this->Modified();
  }
 
  itkGetConstMacro(UseVarianceForNormalization, bool);
  itkSetMacro(UseVarianceForNormalization, bool);
 
  itkGetConstMacro(StdDevValues, VectorType);
  void SetStdDevValues(const VectorType& vec)
  {
    m_UseNormalization            = true;
    m_UseVarianceForNormalization = true;
    m_GivenStdDevValues           = true;
    m_StdDevValues                = vec;
    this->Modified();
  }
 
  void SetStatisticsUserIgnoredValue(RealType value)
  {
    m_Normalizer->GetCovarianceEstimator()->SetUserIgnoredValue(value);
    m_Normalizer->GetCovarianceEstimator()->SetIgnoreUserDefinedValue(true);
 
    m_CovarianceEstimator->SetUserIgnoredValue(value);
    m_CovarianceEstimator->SetIgnoreUserDefinedValue(true);
  }
 
protected:
  PCAImageFilter();
  ~PCAImageFilter() override
  {
  }
 
  void GenerateOutputInformation() override;
 
  void GenerateData() override;
 
  void PrintSelf(std::ostream& os, itk::Indent indent) const override;
 
  virtual void ForwardGenerateOutputInformation();
  virtual void ReverseGenerateOutputInformation();
  virtual void ForwardGenerateData();
  virtual void ReverseGenerateData();
 
  void GenerateTransformationMatrix();
 
  unsigned int m_NumberOfPrincipalComponentsRequired;
  bool         m_UseNormalization;
  bool         m_UseVarianceForNormalization;
  bool         m_GivenMeanValues;
  bool         m_GivenStdDevValues;
  bool         m_GivenCovarianceMatrix;
  bool         m_GivenTransformationMatrix;
  bool         m_IsTransformationMatrixForward;
  bool         m_Whitening;
 
  VectorType m_MeanValues;
  VectorType m_StdDevValues;
  MatrixType m_CovarianceMatrix;
  VectorType m_EigenValues;
  MatrixType m_TransformationMatrix;
 
  CovarianceEstimatorFilterPointerType m_CovarianceEstimator;
  TransformFilterPointerType           m_Transformer;
  NormalizeFilterPointerType           m_Normalizer;
 
private:
  PCAImageFilter(const Self&); // not implemented
  void operator=(const Self&); // not implemented
};
 
} // end of namespace otb
 
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbPCAImageFilter.hxx"
#endif
 
#endif // otbPCAImageFilter_h