itkGaussianMixtureModelComponent.h

Go to the documentation of this file.

/*=========================================================================
 *
 *  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 __itkGaussianMixtureModelComponent_h
#define __itkGaussianMixtureModelComponent_h

#include "itkMixtureModelComponentBase.h"
#include "itkGaussianMembershipFunction.h"
#include "itkWeightedMeanSampleFilter.h"
#include "itkWeightedCovarianceSampleFilter.h"

namespace itk
{
namespace Statistics
{
template< class TSample >
class ITK_EXPORT GaussianMixtureModelComponent:
  public MixtureModelComponentBase< TSample >
{
public:
  typedef GaussianMixtureModelComponent        Self;
  typedef MixtureModelComponentBase< TSample > Superclass;
  typedef SmartPointer< Self >                 Pointer;
  typedef SmartPointer< const Self >           ConstPointer;

  itkTypeMacro(GaussianMixtureModelComponent, MixtureModelComponentBase);
  itkNewMacro(Self);

  typedef typename Superclass::MeasurementVectorType     MeasurementVectorType;
  typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
  typedef typename Superclass::MembershipFunctionType    MembershipFunctionType;
  typedef typename Superclass::WeightArrayType           WeightArrayType;
  typedef typename Superclass::ParametersType            ParametersType;

  typedef GaussianMembershipFunction< MeasurementVectorType >
  NativeMembershipFunctionType;

  typedef WeightedMeanSampleFilter< TSample >       MeanEstimatorType;
  typedef WeightedCovarianceSampleFilter< TSample > CovarianceEstimatorType;

  typedef typename MeanEstimatorType::OutputType MeanVectorType;

  typedef typename CovarianceEstimatorType::OutputType CovarianceMatrixType;

  void SetSample(const TSample *sample);

  void SetParameters(const ParametersType & parameters);

protected:
  GaussianMixtureModelComponent();
  virtual ~GaussianMixtureModelComponent() {}
  void PrintSelf(std::ostream & os, Indent indent) const;

  double CalculateParametersChange();

  void GenerateData();

private:
  typename NativeMembershipFunctionType::Pointer m_GaussianMembershipFunction;

  typename MeanEstimatorType::MeasurementVectorType m_Mean;

  typename CovarianceEstimatorType::MatrixType m_Covariance;

  typename MeanEstimatorType::Pointer m_MeanEstimator;

  typename CovarianceEstimatorType::Pointer m_CovarianceEstimator;
};  // end of class
} // end of namespace Statistics
} // end of namespace itk

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

#endif