Todo List

Class itk::AffineTransform< TScalarType, NDimensions >

Is there any real value in allowing the user to template over the scalar type? Perhaps it should always be double, unless there's a compatibility problem with the Point class.

Add methods to transform (or back transform) many points or vectors at once?

Add reflection? *

Member itk::AffineTransform::Rotate2D (TScalarType angle, bool pre=0)

Find a way to generate a compile-time error is this is used with NDimensions != 2.

Member itk::AffineTransform::Rotate3D (const OutputVectorType &axis, TScalarType angle, bool pre=0)

Find a way to generate a compile-time error is this is used with NDimensions != 3.

Class itk::AnisotropicDiffusionFunction< TImage >

Automatically generate the time step value from image dimensionality and order of the equations

Class itk::BilateralImageFilter< TInputImage, TOutputImage >

Support color images

Support vector images

Class itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >

Edge-linking will be added when an itk connected component labeling algorithm is available.

Member itk::ColorTable::GetColorComponent (unsigned int colorId, char rgb)

Needs renaming.

Member itk::CurvatureFlowFunction::ComputeGlobalTimeStep (void *GlobalData) const

compute timestep based on CFL condition.

Class itk::CurvatureNDAnisotropicDiffusionFunction< TImage >

References

Class itk::FiniteDifferenceFunction< TImageType >

Possibly subclass this object from Function. Stumbling blocks here are the specialized api of FiniteDifferenceFunction.

Class itk::ImageMomentsCalculator< TImage >

It's not yet clear how multi-echo images should be handled here.

Member itk::InverseDeformationFieldImageFilter::KernelTransformType )

Check that input and output images have the same number of dimensions; this is required for consistency.

Class itk::NeighborhoodIterator< TImage, TBoundaryCondition >

Better support for regions with negative indicies.

Add Begin() and End() methods?

Member itk::ResampleImageFilter::TransformType )

Check that input and output images have the same number of dimensions; this is required by the current implementation of AffineTransform.

Class itk::SimpleFilterWatcher

Allow any stream object to be used for the output (not just std::cout)

Member itk::VectorResampleImageFilter::TransformType )

Check that input and output images have the same number of dimensions; this is required by the current implementation of AffineTransform.

Member itk::VoronoiSegmentationRGBImageFilter::SetMeanPercentError (double x[6])

Document.

Namespace itk

Is there any real value in allowing the user to template over the scalar type? Perhaps it should always be double, unless there's a compatibility problem with the Point class.

Derive this class from a yet undefined TransformBase class. Currently, this class derives from AffineTransform, although it is not an affine transform.

Namespace itk

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