Image processing in Python

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.

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Getting Started

Filtering an image with scikit-image is easy! For more examples, please visit our gallery.

from skimage import data, io, filter

image = data.coins() # or any NumPy array!
edges = filter.sobel(image)
io.imshow(edges)
io.show()
_images/coins-small.png _images/sobel-coins-small.png
If you find this project useful, please cite:

Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Inglesias, 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) http://dx.doi.org/10.7717/peerj.453

Announcements

  • Release! Version 0.10.0 27/05/2014
  • Pre-print of the scikit-image paper: https://peerj.com/preprints/336/
  • Release! Version 0.9.0 19/10/2013
  • Release! Version 0.8.0 04/03/2013
  • Release! Version 0.7.0 30/09/2012
  • EuroSciPy Sprint, Belgium, August 2012
  • SciPy 2012 Sprint, Austin, July 2012
Stable

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Development

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