Padding backend

[Josh Warner]

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?
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