I can't work on this right now but I am very excited to see it happen... And it's the first example of a sponsored scikit-image project, right??? (Not counting GSoC.) Support for anisotropic voxels would be a definite plus, too.

Don't forget that Fiji's code is mostly GPL, so don't try to copy it, at least not without first discussing dual licensing with the author(s).

Juan.




On Tue, Nov 3, 2015 at 12:55 PM, Josh Warner <silvertrumpet999@gmail.com> wrote:

Should we use/apply this to a particular volumetric dataset while prototyping different methods, to ensure accurate comparisons?

Should anisotropic, regularly sampled voxels be supported?

--
You received this message because you are subscribed to the Google Groups "scikit-image" group.
To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscribe@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.