SciPy 2013 Tutorial

[Francesc Alted]

Yes!  The new deadline is on Monday 8th, so you are still on time.

Francesc

Al 06/04/13 13:49, En/na Emmanuelle Gouillart ha escrit:
> Hi Tony,
>
> I've heard that there has been a deadline extension (from people that
> were also behind schedule for submitting their tutorial :-), so I think
> it's still time to submit an abstract.
>
> Cheers,
> Emmanuelle
>
> On Mon, Apr 01, 2013 at 10:26:07PM -0500, Tony Yu wrote:
>>     Emmanuelle,
>>     Thanks so much for passing along your proposal... Unfortunately, I got
>>     caught up with other things and didn't have time to put together a
>>     proposal for SciPy. :(
>>     -Tony
>>     On Fri, Mar 29, 2013 at 2:51 AM, Emmanuelle Gouillart
>>     <[1]emmanuelle.gouillart at nsup.org> wrote:
>>       Hi Tony,
>>       I'm not going to SciPy 2013, but I've agreed to give a 1h30-long
>>       tutorial
>>       on image processing with scikit-image at Euroscipy 2013 (August 21-24).
>>       I'd happy to share course materials if you're interested.
>>       I copy below the abstract I've given to the organizers.
>>       Cheers,
>>       Emmanuelle
>>       Image processing with scikit-image and the SciPy stack
>>       ======================================================
>>       Numerical image processing involves the manipulation and transformation
>>       of images, often in order to extract information of interest from the
>>       images. NumPy nd-arrays provide an efficient container for image data,
>>       that can therefore be processed using the SciPy toolstack.
>>       In this tutorial, we will first briefly see how simple operations on
>>       images (e.g. cropping, framing) can be performed using NumPy. More
>>       complex image processing operations will be handled principally by the
>>       scikit-image module (occasionally by the ndimage submodule of
>>       SciPy). Compared to other image processing modules for Python,
>>       scikit-image is designed to work transparently with numpy nd-arrays, and
>>       is written in pure Python and some Cython in order to promote
>>       readability
>>       and maintainability.
>>       The different subtopics of this tutorial include:
>>       * input and output of images (file formats...)
>>       * image enhancing / denoising
>>       * image segmentation (separating an image in labeled regions)
>>       * extraction of geometrical features (edges, lines, spheres,
>>       skeleton...)
>>       * extraction of features for image classification
>>       This tutorial will consist mostly of hands-on examples; no mathematical
>>       justification of the algorithms will be given during the tutorial.
>>       Besides the main image processing tasks, the tutorial will demonstrate
>>       how NumPy advanced features (masks, broadcasting, manipulation of
>>       subsets of indices) and scikit-image utilities functions make image
>>       processing easier. The tutorial will also address the visualization of
>>       image processing results (contours, etc.).
>>       On Thu, Mar 28, 2013 at 09:06:04PM -0500, Tony Yu wrote:
>>       > � �I was wondering if anyone has plans to submit a [1]tutorial
>>       proposal for
>>       > � �SciPy 2013. The proposal is due on Monday (Apr. 1st). It'd be great
>>       to
>>       > � �have scikit-image represented there; especially since medical
>>       imaging is
>>       > � �one of the mini-symposia topics.
>>       > � �If no one else is able, I'll probably submit something, but I have
>>       a
>>       > � �feeling that many of you have more (i.e. any) experience teaching
>>       image
>>       > � �processing than I do.
>>       > � �Cheers,
>>       > � �-Tony