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https://github.com/wassname/scikit-image.git
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Emmanuelle Gouillart
a5ed4acf86
- denoising RGB is now possible, and "colored patches" are then compared - the main function is now in a pure Python file so that default values of kw arguments are visible in the help - reduced the number of computations of patches bound (but this doesn't change much the total speed). - added an example for the gallery I also played with functions that could replace the exponential by a faster and less precise function, but it turns out that most of the time is spent in additions and multiplications when computing the distance between two patches.
Image Processing SciKit
Website (including documentation)
Mailing List
http://groups.google.com/group/scikit-image
Source
https://github.com/scikit-image/scikit-image
Installation from source
Refer to DEPENDS.txt for a list of dependencies.
scikit-image may be installed globally using
$ python setup.py install
or locally using
$ python setup.py install --prefix=${HOME}
If you prefer, you can use it without installing, by simply adding this path to your PYTHONPATH variable and compiling the extensions:
$ python setup.py build_ext -i
License
Please read LICENSE.txt in this directory.