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Journal Articles PeerJ Year : 2014

Scikit-image: image processing in Python

Stefan van Der Walt
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Johannes L. Schönberger
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Juan Nunez-Iglesias
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François Boulogne
Joshua D. Warner
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Niel Yager
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Tony Yu
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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.

Dates and versions

hal-01071542 , version 1 (06-10-2014)



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⟩
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