关键词: 图像分割, 几何活动轮廓模型, C-V模型, 水平集方法, 偏微分方程

Abstract: Edge information is crucial for image segmentation. A novel geometric model is proposed, which incorporates edge information into C-V model（active contours without edges）. It utilizes both the information of homogeneous regions and the edge information to stop the active contours on the object boundaries. The experimental results show that the proposed model can overcome some disadvantages of C-V model, and obtain better results with respect to images that have the intensity inhomogeneity in objects or backgrounds, weak edges, and/or high noises while significantly reducing segmentation time. Besides, it has many advantages over other two improved C-V models（LBF and GACV）.

Key words: image segmentation, geometric active contour model, C-V model, level set method, partial differential equation