关键词: 几何活动轮廓模型, 水平集, 图像分割, 角点提取, 边界泄漏

Abstract: A variable speed image segmentation algorithm based on enhanced Geometric Active Contour（GAC） model is proposed in order to solve the problem that traditional GAC model usually leaks boundary. The algorithm combines image edge gradient information and coordinate information of corners. In the algorithm, the constant speed of evolution curve on the corners and weak boundary is changed to avoid active contour curve continue evolution into the target boundary, causing boundary leakage and corner loss, influencing the accuracy of target contour extraction. The experimental results show that the proposed algorithm can make the evolution curve stop at the edge of target more accurately and reach an obvious effect in terms of boundary leaking, in comparison with traditional GAC model.

Key words: geometric active contour model, level set, image segmentation, corner extraction, boundary leaking