Composite filter to implement Jones et. al. Human Brain Mapping 2005 11:12-32(2000).
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template<typename TImageType, typename TScalarType, unsigned int NDimensions>
class itk::JonesThicknessFilter< TImageType, TScalarType, NDimensions >
Composite filter to implement Jones et. al. Human Brain Mapping 2005 11:12-32(2000).
- See also
- CheckForThreeLevelsFilter
-
LaplacianSolverImageFilter
-
LaplacianSolverImageFilter
-
GaussianSmoothVectorFieldFilter
-
IntegrateStreamlinesFilter
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Runtime information support.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Method for creation through the object factory.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the CSF matter label. Defaults to 2.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the grey matter label. Defaults to 2.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the high voltage, or high potential mentioned in paper. Defaults to 10000.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the epsilon convergence tolerance. Defaults to 0.00001.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the maximum number of iterations. Defaults to 200.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the low voltage, or low potential mentioned in paper. Defaults to 0.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the maximum length for ray casting. Stops the iterations going on for ever. Defaults to 10
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the minimum step size. Defaults to 0.1.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the sigma for Gaussian smoothing of vector normals. Defaults to 0. ie. OFF
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get UseLabels flag. If true, we iterate towards the average of the segmentation labels. If false, we iterate towards the potential boundaries (0,10000). Defaults to false as per Jones paper.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the flag to determine if we are smoothing vector normals.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set a pointer to an image of vector normals. If set, we use this instead.
template<typename TImageType , typename TScalarType , unsigned int NDimensions>
Set/Get the white matter label. Defaults to 1.
The documentation for this class was generated from the following file: