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scikit-image: image processing in Python

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...

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Detalles Bibliográficos
Autores principales: van der Walt, Stéfan, Schönberger, Johannes L., Nunez-Iglesias, Juan, Boulogne, François, Warner, Joshua D., Yager, Neil, Gouillart, Emmanuelle, Yu, Tony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081273/
https://www.ncbi.nlm.nih.gov/pubmed/25024921
http://dx.doi.org/10.7717/peerj.453
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author van der Walt, Stéfan
Schönberger, Johannes L.
Nunez-Iglesias, Juan
Boulogne, François
Warner, Joshua D.
Yager, Neil
Gouillart, Emmanuelle
Yu, Tony
author_facet van der Walt, Stéfan
Schönberger, Johannes L.
Nunez-Iglesias, Juan
Boulogne, François
Warner, Joshua D.
Yager, Neil
Gouillart, Emmanuelle
Yu, Tony
author_sort van der Walt, Stéfan
collection PubMed
description 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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spelling pubmed-40812732014-07-14 scikit-image: image processing in Python van der Walt, Stéfan Schönberger, Johannes L. Nunez-Iglesias, Juan Boulogne, François Warner, Joshua D. Yager, Neil Gouillart, Emmanuelle Yu, Tony PeerJ Bioinformatics 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. PeerJ Inc. 2014-06-19 /pmc/articles/PMC4081273/ /pubmed/25024921 http://dx.doi.org/10.7717/peerj.453 Text en © 2014 Van der Walt et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
van der Walt, Stéfan
Schönberger, Johannes L.
Nunez-Iglesias, Juan
Boulogne, François
Warner, Joshua D.
Yager, Neil
Gouillart, Emmanuelle
Yu, Tony
scikit-image: image processing in Python
title scikit-image: image processing in Python
title_full scikit-image: image processing in Python
title_fullStr scikit-image: image processing in Python
title_full_unstemmed scikit-image: image processing in Python
title_short scikit-image: image processing in Python
title_sort scikit-image: image processing in python
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081273/
https://www.ncbi.nlm.nih.gov/pubmed/25024921
http://dx.doi.org/10.7717/peerj.453
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