On 10/22/2013 2:47 PM, Joseph Jacobs wrote:
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.
Thanks for the suggestion; I'll look into that! I'm a novice, but I
agree pixel-by-pixel classification would not seem to scale well. --jv
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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