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- 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::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.
- Class itk::AzimuthElevationToCartesianTransform< TScalarType, NDimensions >
- 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
- Class itk::BilateralImageFilter< TInputImage, TOutputImage >
- Support vector images
- Member itk::CurvatureFlowFunction::ComputeGlobalTimeStep (void *GlobalData) const
- compute timestep based on CFL condition.
- Class itk::Brains2MaskImageIO
- Everything still needs to be done.
- 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.
- 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.
- Class itk::Statistics::ImageToListGenerator< TImage, TMaskImage >
- In future allow the filter to take a Spatial object as input so a generic spatial object like an ellipse etc can be used as a mask. Sure the ImageMaskSpatialObject can represent image masks too, so why not make SpatialObjects the default. I think the ImageMaskSpatialObject is slow in terms of inefficient iteration through the image.
- 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.
- Class itk::NeighborhoodIterator< TImage, TBoundaryCondition >
- Add Begin() and End() methods?
- Member itk::QuadEdgeMeshConstFrontIterator::~QuadEdgeMeshConstFrontIterator ()
- do we need here a : Superclass( mesh, start, seed ) { }
- 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
- More comments here !
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