The concave contour detection based on GVFsnake

doi:10.4028/www.scientific.net/AMR.108-111.1296

CORC > 兰州理工大学 > 兰州理工大学 > 外国语学院

	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.