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.
from 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: