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题名: A new prediction method for edge detection based on human visual feature
作者: 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: Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC, USA
出版日期: 2012
页码: 1465-1468
收录类别: CPCI(ISTP) ; EI
ISBN号: 9781457720727
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.
产权排序: 2
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/10401
Appears in Collections:自动化系统研究室_会议论文

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