Analysis of Three Parametric Active Models and a Solution to Adjust Their Parameters

Abstract

Active models or snakes are mainly used for detection of certain characteristics defined by the user using prior knowledge. In this paper an analysis of the main characteristics of three parametric active models (Kass, Cohen and Xu) is done. A comparative table is shown to help the user to define which could be the best model according to the application. Finally an experimental design is used to adjust the parameters of the models to guarantee a desired output