Level Set Method for Active Contours
CS 766: Project Report

Saurabh Goyal
saurabh@cs.wisc.edu

Abstract:

Active contours have been an actively researched topic in Computer Vision. Active contours are used to detect object boundaries in an image. This report describes a level set approach to active contours developed by Ravikanth Malladi,James A. Sethian and Baba C. Vemuri. The approach has the advantage that it makes no assumption about the topology of the objects in the image. The initial contour is propagated with a constant speed and a speed dependent on the image gradient and the local curvature. The propagation equations are solved by using viscosity solutions to these Hamilton-Jacobi type equations. The discrete approximation uses entropy satisfying upwind difference schemes which result in a final contour that is able to model arbitrarily complex shapes.