SciPy 2013 Tutorial

[Tony Yu]

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 <
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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