Making algorithms at least 3D, preferably nD

[Stéfan van der Walt]

On Mon, Apr 29, 2013 at 7:04 AM, Juan Nunez-Iglesias <jni.soma at 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