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@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

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