Python for image processing on Wikipedia

[Otto Fajardo]

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_detection.html?highlight=hough#HoughLines2

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 at 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 at 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
>>
>> --
>>
>>
>>
>
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