emmanuelle 4697d66c85 [ENH] Removed eps parameter that was not needed.
Added a test for the case when no denoising at all is performed when h is
very small.

Corrected a bug in looping range in the classical algorithm.
2015-01-26 22:06:38 +01:00
2014-12-02 05:39:56 -06:00
2014-12-04 21:14:44 +01:00
2014-12-04 11:47:18 -05:00
2014-12-02 05:39:56 -06:00

Image Processing SciKit

Coverage Status

Website (including documentation)

http://scikit-image.org/

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.

S
Description
Image Processing SciKit (Toolbox for SciPy)
Readme 42 MiB
Languages
Python 71.7%
Cython 17.9%
C 8.3%
C++ 1.6%
PowerShell 0.2%
Other 0.2%