scikit-image (formerly scikits.image) is an open-sourceimage processinglibrary 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.
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.
