Journal
PEERJ
Volume 2, Issue -, Pages -Publisher
PEERJ INC
DOI: 10.7717/peerj.453
Keywords
Image processing; Reproducible research; Education; Visualization; Open source; Python; Scientific programming
Categories
Funding
- National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health [F30DK098832]
- Victorian Life Sciences Computation Initiative
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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.
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