The Application of the MIC and Improved Snake Algorithm on the Image Segmentation

摘要：

In this paper a new image segmentation algorithm based on the MIC operator and improved snake model is proposed. The traditional snake model only applies the features of the curve, which did not adequately apply the feature of the image. The traditional snake model highly depended on the initialized position of the curve and can not get well fitted effort for the image which has the corners and concaves. The proposed algorithm preferably solves the drawbacks. It is proved by experiment that preferable image segmentation result is gotten based on the algorithm.

关键词： Comer detection Image segmentation edge fitting

作者: Liqun TANG Kejun WANG Yonghua LI Hui NING Yongbin YUAN Qingchang GUO

作者单位: Harbin Engineering University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）