Fuzzy Active Contour Models

This paper presents a Fuzzy Active Contour Model for image segmentation using three variations. The proposed models are based on the Fuzzy Energy-Based Active Contour model introduced by Krinidis and Chatzis. First, an update criteria that changes only localized membership values at each iteration is introduced. Second, the model is extended to a type-2 fuzzy logic. And finally, a multiple object segmentation schema is applied to the original model. We present some experimental results, showing the performance for each modification and some of its advantages.