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ImageFunction
include
itkMahalanobisDistanceThresholdImageFunction.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 __itkMahalanobisDistanceThresholdImageFunction_h
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#define __itkMahalanobisDistanceThresholdImageFunction_h
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#include "
itkImageFunction.h
"
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#include "
itkMahalanobisDistanceMembershipFunction.h
"
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namespace
itk
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{
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template
<
class
TInputImage,
class
TCoordRep =
float
>
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class
ITK_EXPORT
MahalanobisDistanceThresholdImageFunction
:
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public
ImageFunction
< TInputImage, bool, TCoordRep >
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{
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public
:
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typedef
MahalanobisDistanceThresholdImageFunction
Self
;
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typedef
ImageFunction< TInputImage, bool, TCoordRep >
Superclass
;
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typedef
SmartPointer< Self >
Pointer
;
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typedef
SmartPointer< const Self >
ConstPointer
;
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itkTypeMacro(
MahalanobisDistanceThresholdImageFunction
,
ImageFunction
);
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itkNewMacro(
Self
);
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typedef
typename
Superclass::InputImageType
InputImageType
;
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typedef
typename
TInputImage::PixelType
PixelType
;
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itkStaticConstMacro(ImageDimension,
unsigned
int
, Superclass::ImageDimension);
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typedef
typename
Superclass::PointType
PointType
;
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typedef
typename
Superclass::IndexType
IndexType
;
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typedef
typename
Superclass::ContinuousIndexType
ContinuousIndexType
;
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typedef
vnl_matrix< double >
CovarianceMatrixType
;
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typedef
vnl_vector< double >
MeanVectorType
;
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virtual
bool
Evaluate(
const
PointType
& point)
const
;
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virtual
bool
EvaluateAtContinuousIndex(
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const
ContinuousIndexType
& index)
const
;
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virtual
bool
EvaluateAtIndex(
const
IndexType
& index)
const
;
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virtual
double
EvaluateDistance(
const
PointType
& point)
const
;
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virtual
double
EvaluateDistanceAtIndex(
const
IndexType
& index)
const
;
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itkGetConstReferenceMacro(Threshold,
double
);
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itkSetMacro(Threshold,
double
);
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void
SetMean(
const
MeanVectorType
& mean);
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const
MeanVectorType
& GetMean()
const
;
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void
SetCovariance(
const
CovarianceMatrixType
& cov);
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const
CovarianceMatrixType
& GetCovariance()
const
;
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protected
:
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MahalanobisDistanceThresholdImageFunction
();
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~MahalanobisDistanceThresholdImageFunction
(){}
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void
PrintSelf(std::ostream & os,
Indent
indent)
const
;
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private
:
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MahalanobisDistanceThresholdImageFunction
(
const
Self &);
//purposely not
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// implemented
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void
operator=(
const
Self &);
//purposely not
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// implemented
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double
m_Threshold
;
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// This is intended only for Image of Vector pixel type.
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typedef
Statistics::MahalanobisDistanceMembershipFunction
<
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PixelType
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>
MahalanobisDistanceFunctionType
;
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typedef
typename
MahalanobisDistanceFunctionType::Pointer
MahalanobisDistanceFunctionPointer
;
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MahalanobisDistanceFunctionPointer
m_MahalanobisDistanceMembershipFunction
;
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// Cached versions of the mean and covariance to manage the
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// difference in vector/matrix types between this class and the
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// membership function used internally.
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MeanVectorType
m_Mean
;
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CovarianceMatrixType
m_Covariance
;
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};
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}
// end namespace itk
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#ifndef ITK_MANUAL_INSTANTIATION
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#include "itkMahalanobisDistanceThresholdImageFunction.hxx"
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#endif
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#endif
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