itkImageGaussianModelEstimator.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 itkImageGaussianModelEstimator_h
#define itkImageGaussianModelEstimator_h

#include <cmath>
#include <cfloat>

#include "vnl/vnl_vector.h"
#include "vnl/vnl_matrix.h"
#include "vnl/vnl_matrix_fixed.h"
#include "itkMath.h"
#include "vnl/algo/vnl_matrix_inverse.h"

#include "itkImageRegionIterator.h"
#include "itkMacro.h"

#include "itkImageModelEstimatorBase.h"

namespace itk
{
template< typename TInputImage,
          typename TMembershipFunction,
          typename TTrainingImage >
class ITK_TEMPLATE_EXPORT ImageGaussianModelEstimator:
  public ImageModelEstimatorBase< TInputImage, TMembershipFunction >
{
public:
  ITK_DISALLOW_COPY_AND_ASSIGN(ImageGaussianModelEstimator);

  using Self = ImageGaussianModelEstimator;
  using Superclass = ImageModelEstimatorBase< TInputImage, TMembershipFunction >;
  using Pointer = SmartPointer< Self >;
  using ConstPointer = SmartPointer< const Self >;

  itkNewMacro(Self);

  itkTypeMacro(ImageGaussianModelEstimator, ImageModelEstimatorBase);

  using InputImageType = TInputImage;
  using InputImagePointer = typename TInputImage::Pointer;
  using InputImageConstPointer = typename TInputImage::ConstPointer;

  using TrainingImageType = TTrainingImage;
  using TrainingImagePointer = typename TTrainingImage::Pointer;
  using TrainingImageConstPointer = typename TTrainingImage::ConstPointer;

  using InputImagePixelType = typename TInputImage::PixelType;

  using TrainingImagePixelType = typename TTrainingImage::PixelType;

  using InputImageIterator = ImageRegionIterator< TInputImage >;
  using InputImageConstIterator = ImageRegionConstIterator< TInputImage >;
  using TrainingImageIterator = ImageRegionIterator< TTrainingImage >;
  using TrainingImageConstIterator = ImageRegionConstIterator< TTrainingImage >;

  using MembershipFunctionType = TMembershipFunction;
  using MembershipFunctionPointer = typename TMembershipFunction::Pointer;

  itkSetObjectMacro(TrainingImage, TrainingImageType);
  itkGetModifiableObjectMacro(TrainingImage, TrainingImageType);

protected:
  ImageGaussianModelEstimator();
  ~ImageGaussianModelEstimator() override;
  void PrintSelf(std::ostream & os, Indent indent) const override;

  void GenerateData() override;

private:
  using MatrixType = vnl_matrix< double >;

  using InputImageSizeType = typename TInputImage::SizeType;

  static constexpr unsigned int VectorDimension = InputImagePixelType::Dimension;

  MatrixType  m_NumberOfSamples;
  MatrixType  m_Means;
  MatrixType *m_Covariance{nullptr};

  TrainingImagePointer m_TrainingImage;

  void EstimateModels() override;

  void EstimateGaussianModelParameters();
}; // class ImageGaussianModelEstimator
} // namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkImageGaussianModelEstimator.hxx"
#endif

#endif