A FAST AND ROBUST FRAMEWORK FOR IMAGE SEGMENTATION USING ACTIVE CONTOUR MODEL
This work is supported by National Natural Science Foundation of China under Grant No.60173052, the Natural Science Foundation of Shandong of China under Grant No. Y2003G01.
In this paper, we proposed a new active model to segment a given image, based on techniques of curve evolution and an energy minimization function. We use the semi-implicit scheme to implement the active model, instead of the classical explicit scheme, which is unconditionally stable and does not suffer from any time step size restriction. Finally, we present the algorithm and experimental results based on the semi-implicit scheme. Experimental results show that one can obtains a high quality edge contour.