scikit-image¶

Summary

Source: https://github.com/scikit-image/scikit-image

License: BSD-like. See https://github.com/scikit-image/scikit-image/blob/master/LICENSE.txt

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]% python
>>> import matplotlib
>>> matplotlib.use('TkAgg')
>>> from skimage import data, io, filters
>>> image = data.coins()
>>> io.imshow(edges)
>>> io.show()