/usr/include/ITK-4.5/itkGaussianMixtureModelComponent.h is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 | /*=========================================================================
*
* 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
{
/** \class GaussianMixtureModelComponent
* \brief is a component (derived from MixtureModelComponentBase) for
* Gaussian class. This class is used in
* ExpectationMaximizationMixtureModelEstimator.
*
* On every iteration of EM estimation, this class's GenerateData
* method is called to compute the new distribution parameters.
*
* <b>Recent API changes:</b>
* The static const macro to get the length of a measurement vector,
* \c MeasurementVectorSize has been removed to allow the length of a measurement
* vector to be specified at run time. It is now obtained at run time from the
* sample set as input. Please use the function
* GetMeasurementVectorSize() to get the length.
*
* \sa MixtureModelComponentBase, ExpectationMaximizationMixtureModelEstimator
* \ingroup ITKStatistics
*/
template< typename TSample >
class GaussianMixtureModelComponent:
public MixtureModelComponentBase< TSample >
{
public:
/**Standard class typedefs. */
typedef GaussianMixtureModelComponent Self;
typedef MixtureModelComponentBase< TSample > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/**Standard Macros */
itkTypeMacro(GaussianMixtureModelComponent, MixtureModelComponentBase);
itkNewMacro(Self);
/** Typedefs from the superclass */
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;
/** Type of the membership function. Gaussian density function */
typedef GaussianMembershipFunction< MeasurementVectorType >
NativeMembershipFunctionType;
/** Types of the mean and the covariance calculator that will update
* this component's distribution parameters */
typedef WeightedMeanSampleFilter< TSample > MeanEstimatorType;
typedef WeightedCovarianceSampleFilter< TSample > CovarianceEstimatorType;
/** Type of the mean vector */
typedef typename MeanEstimatorType::OutputType MeanVectorType;
/** Type of the covariance matrix */
typedef typename CovarianceEstimatorType::OutputType CovarianceMatrixType;
/** Sets the input sample */
void SetSample(const TSample *sample);
/** Sets the component's distribution parameters. */
void SetParameters(const ParametersType & parameters);
protected:
GaussianMixtureModelComponent();
virtual ~GaussianMixtureModelComponent() {}
void PrintSelf(std::ostream & os, Indent indent) const;
/** Returns the sum of squared changes in parameters between
* iterations */
double CalculateParametersChange();
/** Computes the new distribution parameters */
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
|