Region-aided Geodesic Active Contour Model for Image Segmentation

摘要：

In this paper, a novel algorithm for image segmentation is proposed. The presented method embeds the Geodesic Active Contour (CAC) mode! into the region based method. The proposed model adds a term that relates the region information of image to be segmented to the energy function of Geodesic Active Contour model. As a result, a new energy function is established. This method therefore includes both the edge and region information of the object instead of only the edge information as that in the original GAC model. Experimental results demonstrate that the proposed region aided GAC method is much more effective than the original one, especially when dealing with images with holes, weak edges and noises.

关键词： Image Segmentation Level Set method Active Contour model Geodesic Active Contour

作者: Van-Truong Pham Thi-Thao Tran Yun-Jen Chiu Kuo-Kai Shyu

作者单位: Member, IEEE, Department of Electrical Engineering National Central University Chung-Li 320, Taiwan

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 318-321

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）