scikit-image: image processing in Python
Stéfan van der Walt(Stellenbosch University), Johannes L. Schönberger(University of North Carolina at Chapel Hill), Juan Nunez-Iglesias(Melbourne Bioinformatics), François Boulogne(Princeton University), Joshua Warner(Mayo Clinic in Arizona), Neil Yager, Emmanuelle Gouillart(Saint-Gobain (France)), Tony Yu(Enthought (United States))
Cited by 6,877Open Access
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.