The concave contour detection based on GVFsnake
Cao, Jie; Liu, Xiaojun; Liu, Zongli
2010
会议名称2010 International Conference on Advanced Measurement and Test, AMT 2010
会议录名称Advanced Materials Research
卷号108-111
期号1
页码1296-1301
会议日期May 15, 2010 - May 16, 2010
会议地点Sanya, China
出版者Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
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.
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
DOI10.4028/www.scientific.net/AMR.108-111.1296
收录类别EI
语种英语
EI入藏号20102713054722
EI主题词Experiments
ISSN10226680
来源库Compendex
分类代码723.2 Data Processing and Image Processing - 723.5 Computer Applications - 731.6 Robot Applications - 741.1 Light/Optics - 741.2 Vision - 901.3 Engineering Research
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://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
第一作者单位兰州理工大学
推荐引用方式
GB/T 7714
Cao, Jie,Liu, Xiaojun,Liu, Zongli. The concave contour detection based on GVFsnake[C]:Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany,2010:1296-1301.
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