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Juan Nunez-Iglesias
fac8fde9dc
- images are displayed within their native dtype range, - unless they are outside of their range (e.g. a float image with values greater than 1) or they are of an unsupported dtype (e.g. a uint64 image), in which case the dynamic range of the display corresponds to the image range, - which is also done for images with extremely low contrast for their native range (e.g. float images in [1e-7, 5e-7]. In the latter two cases, a colorbar is also displayed and a warning is raised. Finally, we return the axes object on which the image is plotted, to enable further plotting in the matplotlib new OO style.
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.