Hi, So I have been able to implement the convex_hull_object function. The implementation is in the "convex_hull.py" file. I have also included two tests in "test_convex_hull.py" file itself. I have submitted a PR for the same. https://github.com/scikit-image/scikit-image/pull/522 Johannes and Stefan, could you'll review it please ? Also if there is a faster algorithm for the same ? I was also thinking about having just the current convex_hull_image() with an additional parameter, method. When method='union', i get the convex hull of the entire image, and if method='object', i get the convex hull of individual objects. Though this approach of defining an another function and giving an additional option of returning convex hull of individual segmented objects, seemed interesting. Also helps keep the code clean. Any comments on this ? Thanks, Chintak On Mon, Apr 22, 2013 at 1:56 AM, Chintak Sheth <chintaksheth@gmail.com>wrote:

Hi,

So I have been

Chintak On Apr 15, 2013 11:40 PM, "Stéfan van der Walt" <stefan@sun.ac.za> wrote:

...

Hi Chintak

...

I am really excited about being a part of this community and have been pretty fascinated by morphological techniques in particular. I would really want to contribute something in this direction. Can someone please

On Mon, Apr 15, 2013 at 7:55 PM, Chintak Sheth <chintaksheth@gmail.com> wrote: point me

...

to possible bugs or algorithms in this field that need implementations ?

Welcome! There are several places to start, e.g. we need a convex_hull_objects function, as well as adapting rank filters to handle int16 correctly (not as 12-bit integers).

Otherwise, I'd also keep an eye on IEEE Transactions on Image Processing, and what other leading image processing packages implement.

There are some pretty interesting segmentation and feature detection applications of morphology too. The sky's the limit :)

Cheers Stéfan

P.S. There are plenty of bugs to fix too: https://github.com/scikit-image/scikit-image

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