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PeerJ. 2014 Jun 19;2:e453. doi: 10.7717/peerj.453. eCollection 2014.

scikit-image: image processing in Python.

Author information

1
Stellenbosch University , Stellenbosch , South Africa.
2
Department of Computer Science, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
3
Victorian Life Sciences Computation Initiative , Carlton, VIC , Australia.
4
Department of Mechanical and Aerospace Engineering, Princeton University , Princeton, NJ , USA.
5
Department of Biomedical Engineering, Mayo Clinic , Rochester, MN , USA.
6
AICBT Ltd , Oxford , UK.
7
Joint Unit, CNRS/Saint-Gobain , Cavaillon , France.
8
Enthought, Inc. , Austin, TX , USA.

Abstract

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. More information can be found on the project homepage, http://scikit-image.org.

KEYWORDS:

Education; Image processing; Open source; Python; Reproducible research; Scientific programming; Visualization

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