Scikit-image: image processing in Python

Stefan van Der Walt (1) , Johannes L. Schönberger (2) , Juan Nunez-Iglesias , François Boulogne , Joshua D. Warner , Niel Yager , Emmanuelle Gouillart (3) , Tony Yu

1 Stellenbosch University
2 UNC - University of North Carolina at Chapel Hill [NC, USA]
3 SVI - Surface du Verre et Interfaces

scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image.

Domaines: Science des matériaux [cond-mat.mtrl-sci]

Stefan van Der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, et al.. Scikit-image: image processing in Python. PeerJ, 2014, pp.2:e453. ⟨10.7717/peerj.453⟩. ⟨hal-01071542⟩