Snakes: Everything You Always Wanted to Know About (but Were Afraid to Ask)
Ricard Delgado-Gonzalo, EPFL STI LIB

Seminar • 02 December 2013 • BM 4.233

Abstract
Segmentation is one of the key tasks in image analysis. In medicine, the anatomical structures that appear in magnetic resonance (MR) or computed tomography (CT) scans are often segmented from the image for use in surgical planning, navigation, diagnosis, and therapy evaluation. In biology, the extraction of accurate cell outlines allows one to perform quantitative statistical measurements within cell structures avoiding spurious fluctuations from the image background. Active contours (a.k.a. snakes) constitute a computationally attractive framework for image segmentation. The aim with this talk is to review the main aspects of active contours and present an extended and inclusive taxonomy of different snake variants (2D and 3D). The session will serve as a tutorial to design and implement new spline-based snakes adjusted to different imaging modalities.