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 "vnl/vnl_math.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 ImageGaussianModelEstimator:
  public ImageModelEstimatorBase< TInputImage, TMembershipFunction >
{
public:
  typedef ImageGaussianModelEstimator                                 Self;
  typedef ImageModelEstimatorBase< TInputImage, TMembershipFunction > Superclass;
  typedef SmartPointer< Self >                                        Pointer;
  typedef SmartPointer< const Self >                                  ConstPointer;

  itkNewMacro(Self);

  itkTypeMacro(ImageGaussianModelEstimator, ImageModelEstimatorBase);

  typedef TInputImage                        InputImageType;
  typedef typename TInputImage::Pointer      InputImagePointer;
  typedef typename TInputImage::ConstPointer InputImageConstPointer;

  typedef TTrainingImage                        TrainingImageType;
  typedef typename TTrainingImage::Pointer      TrainingImagePointer;
  typedef typename TTrainingImage::ConstPointer TrainingImageConstPointer;

  typedef typename TInputImage::PixelType InputImagePixelType;

  typedef typename TTrainingImage::PixelType TrainingImagePixelType;

  typedef ImageRegionIterator< TInputImage >         InputImageIterator;
  typedef ImageRegionConstIterator< TInputImage >    InputImageConstIterator;
  typedef ImageRegionIterator< TTrainingImage >      TrainingImageIterator;
  typedef ImageRegionConstIterator< TTrainingImage > TrainingImageConstIterator;

  typedef TMembershipFunction                   MembershipFunctionType;
  typedef typename TMembershipFunction::Pointer MembershipFunctionPointer;

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

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

  void GenerateData() ITK_OVERRIDE;

private:
  ImageGaussianModelEstimator(const Self &) ITK_DELETE_FUNCTION;
  void operator=(const Self &) ITK_DELETE_FUNCTION;

  typedef vnl_matrix< double > MatrixType;

  typedef typename TInputImage::SizeType InputImageSizeType;

  itkStaticConstMacro(VectorDimension, unsigned int,
                      InputImagePixelType::Dimension);

  MatrixType  m_NumberOfSamples;
  MatrixType  m_Means;
  MatrixType *m_Covariance;

  TrainingImagePointer m_TrainingImage;

  virtual void EstimateModels() ITK_OVERRIDE;

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

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

#endif