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Statistics
include
itkMahalanobisDistanceMembershipFunction.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 __itkMahalanobisDistanceMembershipFunction_h
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#define __itkMahalanobisDistanceMembershipFunction_h
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#include "
itkVariableSizeMatrix.h
"
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#include "
itkMembershipFunctionBase.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
TVector >
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class
ITK_EXPORT
MahalanobisDistanceMembershipFunction
:
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public
MembershipFunctionBase
< TVector >
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{
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public
:
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typedef
MahalanobisDistanceMembershipFunction
Self
;
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typedef
MembershipFunctionBase< TVector >
Superclass
;
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typedef
SmartPointer< Self >
Pointer
;
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typedef
SmartPointer< const Self >
ConstPointer
;
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itkTypeMacro(
MahalanobisDistanceMembershipFunction
,
MembershipFunctionBase
);
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itkNewMacro(
Self
);
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typedef
typename
Superclass::Pointer
MembershipFunctionPointer
;
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typedef
TVector
MeasurementVectorType
;
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typedef
typename
Superclass::MeasurementVectorSizeType
MeasurementVectorSizeType
;
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typedef
typename
itk::NumericTraits< MeasurementVectorType >::RealType
MeasurementVectorRealType
;
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typedef
MeasurementVectorRealType
MeanVectorType
;
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typedef
VariableSizeMatrix< double >
CovarianceMatrixType
;
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void
SetMean(
const
MeanVectorType
& mean);
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itkGetConstReferenceMacro(Mean,
MeanVectorType
);
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void
SetCovariance(
const
CovarianceMatrixType
& cov);
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itkGetConstReferenceMacro(Covariance,
CovarianceMatrixType
);
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double
Evaluate(
const
MeasurementVectorType
& measurement)
const
;
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virtual
typename
LightObject::Pointer
InternalClone()
const
;
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protected
:
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MahalanobisDistanceMembershipFunction
(
void
);
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virtual
~MahalanobisDistanceMembershipFunction
(
void
) {}
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void
PrintSelf(std::ostream & os,
Indent
indent)
const
;
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private
:
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MeanVectorType
m_Mean
;
// mean
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CovarianceMatrixType
m_Covariance
;
// covariance matrix
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// inverse covariance matrix. automatically calculated
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// when covariace matirx is set.
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CovarianceMatrixType
m_InverseCovariance
;
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bool
m_CovarianceNonsingular
;
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};
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}
// end of namespace Statistics
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}
// end namespace itk
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#ifndef ITK_MANUAL_INSTANTIATION
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#include "itkMahalanobisDistanceMembershipFunction.hxx"
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#endif
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#endif
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