The concave contour detection based on GVFsnake | |
Cao, Jie; Liu, Xiaojun; Liu, Zongli | |
2010 | |
会议日期 | May 15, 2010 - May 16, 2010 |
会议地点 | Sanya, China |
关键词 | Computer vision Image segmentation Active contour model Contour detection Edge information External energy Force fields Gradient vector flow Iteration numbers Research fields Snake model Standard images Variational methods |
卷号 | 108-111 |
期号 | 1 |
DOI | 10.4028/www.scientific.net/AMR.108-111.1296 |
页码 | 1296-1301 |
英文摘要 | Active contour model is an important research field in computer vision and many researchers studied the variational method in recent years. The traditional snake model is unable to converge to the concave area and it has a lower convergence. By improving the external energy, researchers introduced a gradient vector flow active contour model (GVFsnake). Several standard images are used to segmenting experiments, and the results show that GVF has obvious advantages compared with traditional snake model in the iteration number of force field. Experiments show that the method is faster and better to converge in the concave area. The edge information can be kept well and diffused more quickly. |
会议录 | Advanced Materials Research |
会议录出版者 | Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany |
语种 | 英语 |
ISSN号 | 10226680 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/116524] |
专题 | 外国语学院 |
作者单位 | College of Electrical and Information Engineering, Lanzhou University of Technology, China |
推荐引用方式 GB/T 7714 | Cao, Jie,Liu, Xiaojun,Liu, Zongli. The concave contour detection based on GVFsnake[C]. 见:. Sanya, China. May 15, 2010 - May 16, 2010. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论