Hey Jim,
From my (non-expert) perspective, performing classification pixel-wise would
not be ideal (please correct me if I am wrong). I think the better way would be
to perform some sort of feature extraction on the image (eg. SIFT, SURF, HOG,
LBP and many, many more...checkout scikit-image or google it) and to do
classification using that. Which feature extraction method would be ideal for
you and how you apply it would depend on the application.
Not sure how helpful that was.
Joe
On 22 Oct 2013, at 21:10, jim vickroy wrote:
> Hi,
>
> Apologies if this is an inappropriate question for this forum.
>
> I have a collection of (1024x1024) mono-chromatic images in which each pixel
> is to be labeled as 1 of several categories (e.g., 10). Furthermore, each
> mono-chromatic image was captured through several filters (e.g., 5).
>
> My understanding of the sci-kit documentation is that I would train a
> classifier on a pixel-by-pixel basis and then apply it, to new images, on a
> pixel-by-pixel basis. Is that correct?
>
> Thanks for your time.
>
> -- jv
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