Introduction

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. The project is run by the community, for the community, and adheres to established standards for Python scientific software development, such as code peer-review, inline API documentation, and thorough unit testing.

scikit-image is built on top of numpy, scipy, and cython.

A full overview of functionality is available as API documentation.

Usage example are given in our gallery.

For a more in-depth overview, take a look at our paper.

Let's take a look at some real-world use-cases.

For the tutorial, ensure you've followed the installation instructions.