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A new prediction method for edge detection based on human visual feature
Lin MX(林明秀); Chen S(陈帅)
作者部门自动化系统研究室
会议名称2012 24th Chinese Control and Decision Conference, CCDC 2012
会议日期May 23-25, 2012
会议地点Taiyuan, China
会议录名称Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012
出版者IEEE Computer Society
出版地Washington, DC, USA
2012
页码1465-1468
收录类别EI ; CPCI(ISTP)
EI收录号20124015483635
WOS记录号WOS:000323966201099
产权排序2
ISBN号978-1-4577-2072-7
关键词Computer Vision Forecasting
摘要The edge detection rate of the traditional edge detection operators is relatively high, so that some edge points with special characteristics can't be separated from the normal state edge points. With the specific machine vision applications, a new prediction method for edge detection based on human visual feature is proposed in this paper, and the normal state edge points can be removed by changing the method's parameter. After the experimental verification, the laceration edge points of the sausage can be extracted precisely. © 2012 IEEE.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10401
专题自动化系统研究室
作者单位1.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
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GB/T 7714
Lin MX,Chen S. A new prediction method for edge detection based on human visual feature[C]. Washington, DC, USA:IEEE Computer Society,2012:1465-1468.
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