Todo List

Class itk::AnisotropicDiffusionFunction< TImage >

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

Class itk::AzimuthElevationToCartesianTransform< 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.

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

Class itk::BilateralImageFilter< TInputImage, TOutputImage >

Support color images

Support vector images

Class itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >

Implement a threaded version ?

Class itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >

Implement a threaded version ?

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

compute timestep based on CFL condition.

Class itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >

Implement a threaded version ?

Class itk::Brains2MaskImageIO

Everything still needs to be done.

Class itk::CannyEdgeDetectionImageFilter

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

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.

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::target (Whether T1 or T2 *comes first lexicographically depends on whether you choose to *write mappings from right-to-left or vice versa;we avoid the whole *problem by referring to the order of application rather than the *textual order.)**There are two template parameters for this class

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

Member itk::target (Whether T1 or T2 *comes first lexicographically depends on whether you choose to *write mappings from right-to-left or vice versa;we avoid the whole *problem by referring to the order of application rather than the *textual order.)**There are two template parameters for this class

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

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