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scikit-image: image processing in Python

Stéfan van der Walt; Johannes L. Schönberger; Juan Nunez-Iglesias; François Boulogne; Joshua Warner; Neil Yager; Emmanuelle Gouillart; Tony Yu · PeerJ · 2014

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

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APA 7

Walt, S. V. D, Schönberger, J. L, Nunez-Iglesias, J, Boulogne, F, Warner, J, Yager, N, Gouillart, E, & Yu, T. (2014). scikit-image: image processing in Python. https://doi.org/10.7717/peerj.453

MLA

Walt, Stéfan van der, et al. "scikit-image: image processing in Python." 2014. https://doi.org/10.7717/peerj.453.

Chicago

Walt, Stéfan van der, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua Warner, Neil Yager, Emmanuelle Gouillart, and Tony Yu. 2014. "scikit-image: image processing in Python.". https://doi.org/10.7717/peerj.453.

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Walt, S. V. D. et al. 2014, scikit-image: image processing in Python, PeerJ, available at: https://doi.org/10.7717/peerj.453 [Accessed 8 Aug. 2026].

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Title
scikit-image: image processing in Python
Author / contributors
Stéfan van der Walt; Johannes L. Schönberger; Juan Nunez-Iglesias; François Boulogne; Joshua Warner; Neil Yager; Emmanuelle Gouillart; Tony Yu
Publisher
PeerJ
Publication year
2014
Language
English

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