Scikit-image

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(s)	Stéfan van der Walt
Initial release	August 2009; 15 years ago (2009-08)
Stable release	0.25.2[1] / 18 February 2025; 3 months ago (18 February 2025)
Repository	github.com/scikit-image/scikit-image
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.org

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.