oh, I'm sorry! only now I read that opencv was already included! ... but ... for example Hough line detection, it says No in python, but I think it's in opencv (maybe I am wrong again?) http://opencv.willowgarage.com/documentation/python/imgproc_feature_detectio... By the way, another interesting library, that maybe not many people is aware of, is pink. It's opensource. It has tons of functions originally written in C, and they are now wrapping it for python. It is not numpy-friendly (apparently they want to change this now), and it's difficult to compile. But maybe interesting to take a look: http://www.esiee.fr/~coupriem/Pink/doc/html/index.html https://www.pinkhq.com/homepage/ 2012/10/18 Otto Fajardo <otto.fajardob@gmail.com>

Some items in python could be turned into "yes" if you take into account opencv for python:

http://opencv.willowgarage.com/documentation/python/index.html http://docs.opencv.org/index.html

2012/10/18 Luis Pedro Coelho <luis@luispedro.org>

...

While looking for something else, I ran across this:

http://en.wikipedia.org/wiki/Comparison_of_image_processing_software

and added the Python column.

I think some of the "No"s could be turned into "Yes"s, except that I don't know all about all Python packages.

*

I don't even understand what some of the headings are supposed to mean and I work in computer vision research as they seem incredibly generic. For example, "Image validate", "Image adjustment", ...

Best, -- Luis Pedro Coelho | Institute for Molecular Medicine | http://luispedro.org

--