Scikit-image: Image processing in python

Stéfan Van Der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu

Research output: Contribution to journalArticleResearchpeer-review

1420 Citations (Scopus)

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.

Original languageEnglish
Article numbere453
Number of pages18
JournalPeerJ
Volume2014
Issue number1
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • Education
  • Image processing
  • Open source
  • Python
  • Reproducible research
  • Scientific programming
  • Visualization

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