[Insight-developers] Contribution of a 3D thinning filter

[kent williams]

In the comments on the existing class it says 'TODO: Make this ND.'

The most ideal way for you to proceed is to look again at your code and see
if it's possible to make it work in the 2D (and perhaps higher dimensions)
case.  Will it work if you give it a 3D image with a third dimension of one?
If so,the only complication is finding the places where it assumes 3D --
setting up indexes, dimensions, direction cosines.

Then, make sure it implements the same public interface as the existing
code, and submit it to the Insight Journal.  After evaluation, then, it can
simply replace the old file.

It looks like the itkBinaryThinningImageFilter currently does no Concept
Check for the dimension, so I don't know what it would do if you used 3D
image types...

On 9/27/07 2:18 PM, "Hanno Homann" <hanno.homann at freenet.de> wrote:

> Hello,
> 
> Recently I had to implement a 3D thinning (skeletonisation) filter,
> as ITK currently only contains the 2D "itkBinaryThinningImageFilter".
> The code worked reliably and decently fast on my data and I now would
> like to contribute it to ITK.
> 
> I do see two alternatives: 1) to change the current filter such that
> it can then do 2D and 3D, or 2) to simply add a new
> "itkBinaryThinningImageFilter_3D". In my view the latter makes sense
> because the realisation in 3D is rather different from 2D and the code
> of a combined filter would contain two mostly independent parts. But
> what would you you recommend?
> 
> Also would someone like to assist me with the submission process, since
> I haven't done this before..?
> 
> Thanks,
> Hanno
> 
> 
> 
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