Todo List

Member itk::AffineTransform< TScalarType, NDimensions >::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< TScalarType, NDimensions >::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.

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::Brains2MaskImageIO

Class itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >

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

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

Needs renaming.

Member itk::CurvatureFlowFunction< TImage >::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.

Member itk::i18n::I18nOpenForReading (const std::string &str)

check if cygwin has and needs the O_BINARY flag

Member itk::i18n::I18nOpenForWritting (const std::string &str, const bool append=false)

check if cygwin has and needs the O_BINARY flag

Class itk::ImageMomentsCalculator< TImage >

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

Member itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::KernelTransformType

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

Member itk::MRCImageIO::m_MetaDataHeaderName

Move to itkIOCommon with the other MetaDataDictionary keys, likely rename the symbol to something like ITK_MRCHHeader. (remember to fix class doc too)

Class itk::NeighborhoodIterator< TImage, TBoundaryCondition >

Better support for regions with negative indicies.

Add Begin() and End() methods?

Member itk::QuadEdgeMeshConstFrontIterator< TMesh, TQE >::~QuadEdgeMeshConstFrontIterator ()

do we need here a : Superclass( mesh, start, seed ) { }

Member itk::QuadEdgeMeshEdgeMergeDecimationFilter< TInput, TOutput, TCriterion >::CheckOrientation (OutputQEType *iEdge, const OutputPointIdentifier &iId, const OutputPointType &iPt)

Finish to implement this method!

Class itk::SimpleFilterWatcher

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

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.

Class itk::Statistics::ImageToListSampleFilter< 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::StreamingImageIOBase::ReadBufferAsBinary (std::istream &is, void *buffer, SizeType num)

Move this method to itk::ImageIOBase

Member itk::StreamingImageIOBase::WriteBufferAsBinary (std::ostream &is, const void *buffer, SizeType num)

Move this methods to itk::ImageIOBase

Member itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::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< TInputImage, TOutputImage >::SetMeanPercentError (double x[6])

Document.

Member itkQEAccessorsMacro (st, pt, dt)

Should this macro be added to doxygen macros?