The scikit-image version string.

Color space conversion.

Example images and datasets.

Drawing primitives, such as lines, circles, text, etc.

Image intensity adjustment, e.g., histogram equalization, etc.

Feature detection and extraction, e.g., texture analysis, corners, etc.

Sharpening, edge finding, rank filters, thresholding, etc.

Functionality with an experimental API.

Graph-based operations, e.g., shortest paths.

Reading and saving of images and videos.

Measurement of image properties, e.g., region properties, contours.

Metrics corresponding to images, e.g., distance metrics, similarity, etc.

Morphological algorithms, e.g., closing, opening, skeletonization.

Image registration algorithms, e.g., optical flow or phase cross correlation.

Restoration algorithms, e.g., deconvolution algorithms, denoising, etc.

Algorithms to partition images into meaningful regions or boundaries.

Geometric and other transformations, e.g., rotations, Radon transform.

Generic utilities.