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

Python (programming language)Computer scienceImage processingOpen sourceDigital image processingArtificial intelligenceLicenseImage (mathematics)SoftwareOperating system

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Publication Info

Year
2014
Type
article
Volume
2
Pages
e453-e453
Citations
6349
Access
Closed

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Cite This

Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias et al. (2014). scikit-image: image processing in Python. PeerJ , 2 , e453-e453. https://doi.org/10.7717/peerj.453

Identifiers

DOI
10.7717/peerj.453
PMID
25024921
PMCID
PMC4081273

Data Quality

Data completeness: 81%