Adaptive Image Segmentation Algorithm Based on GAC Model
An Adaptive image segmentation algorithm based on geometric active contour(GAC)model was presented in this paper in order to solve the problem that tradition GAC model can't segment adaptively and this kind of model usually leaks boundary.This algorithm combined image gradient information and curve location.In this algorithm,evolution speed which depends on gradient information of inward and outward area's of curve replaced constant speed in tradition GAC model.Experimental results showed that the proposed algorithm is feasible,and reaches an obvious effect in terms of boundary leaking.