Padding backend

[Josh Warner]

Missed that in the notes, thanks for the notice. Looks like I need to 
update.

If/when we consider moving to Numpy 1.7.x as a dependency instead of 1.6.x, 
I'll try to remember to bring this up again.

On Thursday, April 18, 2013 7:52:06 PM UTC-5, Christoph Gohlke wrote:
>
> On 4/18/2013 5:41 PM, Josh Warner wrote: 
> > It appears there are several scikit-image functions which have need of 
> > padding input. As far as I can see, these generally do so internally, 
> > with functions or routines that aren't exposed. From a quick search, the 
> > following functions in scikit-image all pad using their own internal 
> > methods: 
> > 
> > |feature.match_template| : mean value 
> > |filter.lpi_filter| : asymmetric zeros 
> > |morphology.greyreconstruct| : symmetric zeros or constant value 
> > |morphology.watershed| : |pad| child function for symmetric zeros 
> > |transform.radon| : symmetric zeros 
> > 
> > More broadly, there doesn't appear to be a publicly exposed API for 
> > padding NumPy image arrays in any packages I've come across. 
> > |scipy.ndimage| clearly has this functionality, via the common |mode| 
> > parameters, but it isn't exposed for general use. 
> > 
> > I've put some effort into making a pure Python 2d / 3d capable padding 
> > function for personal use, and most of the |scipy.ndimage| modes are 
> > available. Preliminary gist here wouldn't be hard to wrap into a PR 
> > (likely not optimal, but functional): 
> > https://gist.github.com/JDWarner/a26f77dae983fa1faba9 
> > 
> > Would such functionality be desirable? 
> > 
>
>
> Numpy has a pad function since version 1.7. 
> <http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.pad.html> 
>
> Christoph 
>
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