scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers.
Release! Version 0.17.1 2020-05-08
Release! Version 0.16.1 2019-10-14
Release! Version 0.14.3 2019-06-11
Release! Version 0.15.0 2019-04-02
Release! Version 0.14.2 2019-01-18
Release! Version 0.14.1 2018-10-02
Filtering an image with scikit-image is easy! For more examples, please
visit our gallery.
Sourcefrom skimage import data, io, filters
image = data.coins()
# ... or any other NumPy array!
edges = filters.sobel(image)
io.imshow(edges)
io.show()
You can read more in our user guide.
Along with a large community of contributors, scikit-image development is guided by the following core team:
We thank these previously-active core developers for their contributions to scikit-image.
