Re: Making algorithms at least 3D, preferably nD

On Mon, Apr 29, 2013 at 7:04 AM, Juan Nunez-Iglesias <jni.soma@gmail.com> wrote:
But scikit-image is part of scikits, an "index of add-on toolkits that complement SciPy, a library of scientific computing routines." (emphasis mine). One of the goals is (/should be; @stefanv can weigh in) the analysis of scientific images, many of which are 3D volumetric. And many such algorithms can be applied as-is whether the data is 2D or 3D. This includes filters, edge detectors, segmentation methods, convex hulls, and more.
Volumetric image processing is definitely within scope of the scikit. The reason that most of the implementations up to this point were 2-D is simply a lack of time and hands. Luckily, that seems to be changing, so we may very well have the luxury of tackling this problem head-on. Stéfan
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Stéfan van der Walt