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PMID: 25024921 Published · epublish English Journal Article

scikit-image: image processing in Python.

PeerJ ·Vol. 2 ·2014-00-00 ·Pages e453

van der Walt S, Schönberger JL, Nunez-Iglesias J, Boulogne F, Warner JD, Yager N, Gouillart E, Yu T, scikit-image contributors

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
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
van der Walt Stéfan
Stellenbosch University , Stellenbosch , South Africa.
Schönberger Johannes L
Department of Computer Science, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
Nunez-Iglesias Juan
Victorian Life Sciences Computation Initiative , Carlton, VIC , Australia.
Boulogne François
Department of Mechanical and Aerospace Engineering, Princeton University , Princeton, NJ , USA.
Warner Joshua D
Department of Biomedical Engineering, Mayo Clinic , Rochester, MN , USA.
Yager Neil
AICBT Ltd , Oxford , UK.
Gouillart Emmanuelle
Joint Unit, CNRS/Saint-Gobain , Cavaillon , France.
Yu Tony
Enthought, Inc. , Austin, TX , USA.
scikit-image contributors
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Article Info
Journal
PeerJ
Abbr.
PeerJ
ISSN
2167-8359
Published
2014-00-00
Epub
2014-00-19
Pages
e453
Language
English
Region
United States
NLM ID
101603425
PMCID
PMC4081273
Grants
NIDDK NIH HHS · F30 DK098832 · United States
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