SkImage

scikit-image, commonly imported as skimage, is a free and open-source image processing library for Python. It provides a collection of algorithms for image processing and computer vision, designed to interoperate with NumPy arrays and the broader SciPy ecosystem. The project is developed by a community of contributors and released under a permissive open-source license.

skimage organizes functionality into modules such as io for input/output, color for color space conversion, filters, morphology, segmentation, measure, transform, feature, restoration, exposure, and util. The library emphasizes easy-to-use, consistent APIs, handling 2D and 3D imagery, and providing well-documented, well-tested routines.

Typical workflows include loading an image, converting color spaces, applying denoising or filtering, performing edge or feature detection, and segmenting regions of interest. Common algorithms include Canny edge detection, SLIC superpixels, Felzenszwalb segmentation, watershed, thresholding, ORB features, HOG descriptors, blob detectors, and region properties computations. It also provides utilities for visualization, drawing, and working with masks and labels.

Installation is via standard Python packaging tools; it depends on NumPy and SciPy. The project maintains documentation and tutorials and is used in education and research as a general-purpose image processing toolkit within the Python ecosystem.