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ITK
6.0.0
Insight Toolkit
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Go to the documentation of this file.
18 #ifndef itkVectorThresholdSegmentationLevelSetImageFilter_h
19 #define itkVectorThresholdSegmentationLevelSetImageFilter_h
89 template <
typename TInputImage,
typename TFeatureImage,
typename TOutputPixelType =
float>
103 using typename Superclass::ValueType;
104 using typename Superclass::OutputImageType;
105 using typename Superclass::FeatureImageType;
125 m_ThresholdFunction->SetMean(mean);
130 const MeanVectorType &
133 return m_ThresholdFunction->GetMean();
139 m_ThresholdFunction->SetCovariance(cov);
143 const CovarianceMatrixType &
146 return m_ThresholdFunction->GetCovariance();
153 m_ThresholdFunction->SetThreshold(thr);
161 return m_ThresholdFunction->GetThreshold();
169 PrintSelf(std::ostream & os,
Indent indent)
const override;
176 #ifndef ITK_MANUAL_INSTANTIATION
177 # include "itkVectorThresholdSegmentationLevelSetImageFilter.hxx"
A base class which defines the API for implementing a special class of image segmentation filters usi...
SmartPointer< Self > Pointer
void SetMean(const MeanVectorType &mean)
typename ThresholdFunctionType::ScalarValueType ScalarValueType
void SetThreshold(ScalarValueType thr)
const MeanVectorType & GetMean() const
Control indentation during Print() invocation.
Segments structures in images based on intensity values.
Light weight base class for most itk classes.
ScalarValueType GetThreshold()
typename ThresholdFunctionType::MeanVectorType MeanVectorType
const CovarianceMatrixType & GetCovariance() const
void SetCovariance(const CovarianceMatrixType &cov)
typename MahalanobisFunctionType::CovarianceMatrixType CovarianceMatrixType
PixelType ScalarValueType
The "itk" namespace contains all Insight Segmentation and Registration Toolkit (ITK) classes....
typename ThresholdFunctionType::Pointer ThresholdFunctionPointer
This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in imag...
typename MahalanobisFunctionType::MeanVectorType MeanVectorType
typename ThresholdFunctionType::CovarianceMatrixType CovarianceMatrixType