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Statistics
include
itkGaussianMixtureModelComponent.h
Go to the documentation of this file.
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/*=========================================================================
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*
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* Copyright Insight Software Consortium
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0.txt
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*=========================================================================*/
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#ifndef __itkGaussianMixtureModelComponent_h
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#define __itkGaussianMixtureModelComponent_h
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#include "
itkMixtureModelComponentBase.h
"
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#include "
itkGaussianMembershipFunction.h
"
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#include "
itkWeightedMeanSampleFilter.h
"
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#include "
itkWeightedCovarianceSampleFilter.h
"
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namespace
itk
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{
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namespace
Statistics
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{
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template
<
class
TSample >
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class
ITK_EXPORT
GaussianMixtureModelComponent
:
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public
MixtureModelComponentBase
< TSample >
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{
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public
:
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typedef
GaussianMixtureModelComponent
Self
;
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typedef
MixtureModelComponentBase< TSample >
Superclass
;
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typedef
SmartPointer< Self >
Pointer
;
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typedef
SmartPointer< const Self >
ConstPointer
;
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itkTypeMacro(
GaussianMixtureModelComponent
,
MixtureModelComponentBase
);
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itkNewMacro(
Self
);
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typedef
typename
Superclass::MeasurementVectorType
MeasurementVectorType
;
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typedef
typename
Superclass::MeasurementVectorSizeType
MeasurementVectorSizeType
;
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typedef
typename
Superclass::MembershipFunctionType
MembershipFunctionType
;
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typedef
typename
Superclass::WeightArrayType
WeightArrayType
;
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typedef
typename
Superclass::ParametersType
ParametersType
;
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typedef
GaussianMembershipFunction< MeasurementVectorType >
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NativeMembershipFunctionType
;
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typedef
WeightedMeanSampleFilter< TSample >
MeanEstimatorType
;
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typedef
WeightedCovarianceSampleFilter< TSample >
CovarianceEstimatorType
;
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typedef
typename
MeanEstimatorType::OutputType
MeanVectorType
;
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typedef
typename
CovarianceEstimatorType::OutputType
CovarianceMatrixType
;
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void
SetSample(
const
TSample *sample);
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void
SetParameters(
const
ParametersType
& parameters);
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protected
:
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GaussianMixtureModelComponent
();
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virtual
~GaussianMixtureModelComponent
() {}
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void
PrintSelf(std::ostream & os,
Indent
indent)
const
;
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double
CalculateParametersChange();
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void
GenerateData();
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private
:
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typename
NativeMembershipFunctionType::Pointer
m_GaussianMembershipFunction
;
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typename
MeanEstimatorType::MeasurementVectorType
m_Mean
;
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typename
CovarianceEstimatorType::MatrixType
m_Covariance
;
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typename
MeanEstimatorType::Pointer
m_MeanEstimator
;
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typename
CovarianceEstimatorType::Pointer
m_CovarianceEstimator
;
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};
// end of class
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}
// end of namespace Statistics
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}
// end of namespace itk
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#ifndef ITK_MANUAL_INSTANTIATION
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#include "itkGaussianMixtureModelComponent.hxx"
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#endif
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#endif
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