A new prediction method for edge detection based on human visual feature

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.

关键词： edge detection prediction machine vision

作者: Mingxiu Lin Shuai Chen

作者单位: College of Information Science and Engineering, Northeastern University, Shenyang 110819, China Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1477-1480

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）