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Image processing library for Python From Wikipedia, the free encyclopedia
scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language.[2] It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.[3] It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
Original author(s) | Stéfan van der Walt |
---|---|
Initial release | August 2009 |
Stable release | 0.24.0[1]
/ 18 June 2024 |
Repository | |
Written in | Python, Cython, and C. |
Operating system | Linux, Mac OS X, Microsoft Windows |
Type | Library for image processing |
License | BSD License |
Website | scikit-image |
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.[4] 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].[5] Scikit-image has also been active in the Google Summer of Code.[6]
scikit-image is largely written in Python, with some core algorithms written in Cython to achieve performance.
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