SciPy 2013 Tutorial
Francesc Alted
francesc at continuum.io
Sat Apr 6 07:56:02 EDT 2013
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
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