|Original author(s)||Stéfan van der Walt|
|Initial release||August 2009|
0.14.2 / January 18, 2019
|Written in||Python, Cython, and C.|
|Operating system||Linux, Mac OS X, Microsoft Windows|
|Type||Library for image processing|
scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language. It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
The scikit-image project started as scikits.image, by Stéfan van der Walt. Its name stems from the notion that it is a "SciKit" (SciPy Toolkit), a separately-developed and distributed third-party extension to SciPy. The original codebase was later extensively rewritten by other developers. Of the various scikits, scikit-image as well as scikit-learn were described as "well-maintained and popular" in November 2012[update]. Scikit-image has also been active in the Google Summer of Code.
scikit-image is largely written in Python, with some core algorithms written in Cython to achieve performance.
- Stéfan van der Walt. "scikit-image". Python Package Index.
- S van der Walt; JL Schönberger; J Nunez-Iglesias; F Boulogne; JD Warner; N Yager; E Gouillart; T Yu; the scikit-image contributors (2014). "scikit-image: image processing in Python". PeerJ. 2:e453: e453. doi:10.7717/peerj.453.
- Chiang, Eric (2014). "Image Processing with scikit-image".
- Dreijer, Janto. "scikit-image".
- Eli Bressert (2012). SciPy and NumPy: an overview for developers. O'Reilly. p. 43.
- Birodkar, Vighnesh (2014). "GSOC 2014 – Signing Off".