Scikit-image
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.
| scikit-image | |
|---|---|
 | |
| Original author | Stéfan van der Walt |
| Initial release | August 2009 |
| Stable release | 0.25.2[1]
/ 18 February 2025 |
| 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 |
| Repository | |
Overview
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]
Implementation
scikit-image is largely written in Python, with some core algorithms written in Cython to achieve performance.