ITK  6.0.0
Insight Toolkit
itkGaussianMembershipFunction.h
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1/*=========================================================================
2 *
3 * Copyright NumFOCUS
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * https://www.apache.org/licenses/LICENSE-2.0.txt
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 *
17 *=========================================================================*/
18#ifndef itkGaussianMembershipFunction_h
19#define itkGaussianMembershipFunction_h
20
21#include "itkMatrix.h"
23
24namespace itk
25{
26namespace Statistics
27{
55template <typename TMeasurementVector>
56class ITK_TEMPLATE_EXPORT GaussianMembershipFunction : public MembershipFunctionBase<TMeasurementVector>
57{
58public:
59 ITK_DISALLOW_COPY_AND_MOVE(GaussianMembershipFunction);
60
66
68 itkOverrideGetNameOfClassMacro(GaussianMembershipFunction);
69 itkNewMacro(Self);
74
76 using MeasurementVectorType = TMeasurementVector;
77
79 using typename Superclass::MeasurementVectorSizeType;
80
85
88
91 void
92 SetMean(const MeanVectorType & mean);
93
96 itkGetConstReferenceMacro(Mean, MeanVectorType);
97
102 void
104
105 /* Get the covariance matrix. Covariance matrix is a
106 VariableSizeMatrix of doubles. */
107 itkGetConstReferenceMacro(Covariance, CovarianceMatrixType);
108
109 /* Get the inverse covariance matrix. Covariance matrix is a
110 VariableSizeMatrix of doubles. */
111 itkGetConstReferenceMacro(InverseCovariance, CovarianceMatrixType);
112
114 double
115 Evaluate(const MeasurementVectorType & measurement) const override;
116
120 typename LightObject::Pointer
121 InternalClone() const override;
122
123protected:
125 ~GaussianMembershipFunction() override = default;
126 void
127 PrintSelf(std::ostream & os, Indent indent) const override;
128
129private:
130 MeanVectorType m_Mean{}; // mean
131 CovarianceMatrixType m_Covariance{}; // covariance matrix
132
133 // inverse covariance matrix. automatically calculated
134 // when covariance matrix is set.
135 CovarianceMatrixType m_InverseCovariance{};
136
137 // pre_factor (normalization term). automatically calculated
138 // when covariance matrix is set.
139 double m_PreFactor{};
140
142 bool m_CovarianceNonsingular{};
143};
144} // end of namespace Statistics
145} // end namespace itk
146
147#ifndef ITK_MANUAL_INSTANTIATION
148# include "itkGaussianMembershipFunction.hxx"
149#endif
150
151#endif
Control indentation during Print() invocation.
Definition: itkIndent.h:50
Light weight base class for most itk classes.
GaussianMembershipFunction models class membership through a multivariate Gaussian function.
double Evaluate(const MeasurementVectorType &measurement) const override
void SetCovariance(const CovarianceMatrixType &cov)
LightObject::Pointer InternalClone() const override
void SetMean(const MeanVectorType &mean)
typename itk::NumericTraits< MeasurementVectorType >::RealType MeasurementVectorRealType
void PrintSelf(std::ostream &os, Indent indent) const override
MembershipFunctionBase defines common interfaces for membership functions.
SmartPointer< Self > Pointer
The "itk" namespace contains all Insight Segmentation and Registration Toolkit (ITK) classes....