SciPy 2013 Tutorial

[Tony Yu]

I'll have to give this another try, then. Thanks!
-Tony


On Sat, Apr 6, 2013 at 6:56 AM, Francesc Alted <francesc at continuum.io>wrote:

> 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 <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
>>>
>>
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