| scikit-image | |
| Author: | Stéfan van der Walt |
| Programming Language: | Python, Cython, and C. |
| Operating System: | Linux, Mac OS X, Microsoft Windows |
| Genre: | Library for image processing |
| License: | BSD License |
scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language.[1] It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.[2] 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.[3] 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" .[4] Scikit-image has also been active in the Google Summer of Code.[5]
scikit-image is largely written in Python, with some core algorithms written in Cython to achieve performance.