Monday, September 19, 2011

scikits.image: image processing in Python [edit]

From a discussion on the scikits.learn mailing list I stumbled across scikits.image. How great is that?

I have been looking for something like that for quite a while now: A low to mid-level image library for python.
It is still in a very early stage at the moment and mostly consists of io, morphological operations and opencv function as far as I can see.
But it can convert colorspaces! I don't know how many times I thought "why?!!? why do I have to write my RBG to HSV myself?!"

This makes me ever so happy :)

I hope I find the time to contribute and I hope this project will gain more momentum.

[edit]
As an afterthought, I'd like to quote the following message from Nicolas Pinto on
the scikits-learn mailing list:
[about histogram of oriented gradients]
I believe this should be part of scikits.image along with sift, phog,
bow, phow, geometric blur, gabor jets, etc. We had planned to
integrate them all but it felt through the cracks.
I hope that the scikits.image community agrees and we can create a place to collect state of the art vision algorithms. [\edit]

1 comment:

  1. May be the reason why there's no such conversion is there are different ways how to do it, i.e. use BT.601 or BT.709 formula for intensity.

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