Image Segmentation Based on GC-CV

摘要：

In this article, an integrated method, named GCCV, was developed and applied to image segmentation. The proposed method combines graph cut method and the simplified Mumford-Shah model (C-V model), and takes the advantages of both. In this paper, the proposed GC-CV method is put to test in its three different operational modes. The first mode is the segmentation of binary images using GCCV directly. The second mode is the segmentation of multiregion images by recursive GC-CV. The last one is segmentation of color images and gray images by combining GC-CV with EM algorithm, and using YCbCr color space for color image segmentation. The feasibility and effectiveness of the proposed GC-CV method is verified by a serious of experiments. Experimental results show that the speed of segmentation can be greatly improved and the number of iterations can be considerably reduced with GC-CV in comparison with C-V model. Experimental results reveal that GC-CV can be a promising approach to image segmentation.

关键词： image segmentation graph cut C-V model automatically EM algorithm

作者: Ye Hou Bao-long Guo Jeng-Shyang Pan Chin-Shiuh Shieh

作者单位: Institute of ICIE, School of Mechano-Electronic Engineering Xidian University Xian,China Shenzhen Graduate School Harbin Institute of Technology Shenzhen, Guangdong Department of Electronic Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung, Ta

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）