Summary
Source: https://github.com/scikit-image/scikit-image
License: BSD-like. See https://github.com/scikit-image/scikit-image/blob/master/LICENSE.txt
Path: part of conda installations.
Documentation: https://scikit-image.org/
scikit-image aims to be the reference library for scientific image analysis in Python.
Citation
If you find this project useful, please cite: Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu and the scikit-image contributors. scikit-image: Image processing in Python. PeerJ 2:e453 (2014) https://doi.org/10.7717/peerj.453
Using scikit-image
To initialize the environment use the module command:
[elx]% module load maxwell conda # or conda/<version>
[elx]% python
>>> import matplotlib
>>> matplotlib.use('TkAgg')
>>> from skimage import data, io, filters
>>> image = data.coins()
>>> io.imshow(edges)
>>> io.show()