Scikit image: Image Analysis in Python Intermediate

Across domains, modalities, and scales of exploration, images form an integral subset of scientific measurements. Despite a deep appeal to human intuition, gaining understanding of image content remains challenging, and often relies on heuristics. Even so, the wealth of knowledge contained inside of images cannot be understated.

Scikit-image is an image processing library, built on top of SciPy, that provides researchers, practitioners, and educators access to a strong foundation upon which to build algorithms and applications.

In this tutorial, aimed at intermediate users of scientific Python, we introduce the library, give practical, real-world examples of applications, and briefly explore its use in the context of machine learning. Throughout, attendees are given the opportunity to learn through hands-on exercises.

BIDS research fellow Stéfan van der Walt presented this tutorial at SciPy 2016 in Austin, TX.