Active Contour Model with Decentralized Cooperative Processing

Abstract

Active Contour Model, Snakes, is one of the most popular boundary detection methods. Snakes has a problem that it is difficult to determine an initial contour and parameters suitable for the target shape. In addition, this method cannot detect the target boundary precisely when the target image does not have clear edges or uniform feature in the target domain and the background domain. We have proposed Snakes with decentralized cooperative processing. In this method, multiple Snakes do the detection procedure in a parallel and cooperative manner. As a result, the possibility of obtaining the target contour is increased by exchanging information between the multiple Snakes. In this paper, we present effectiveness of this approach through the experiments with simulation images and real images.