A new prediction method for edge detection based on human visual feature
文献类型：会议论文
| 作者 | Lin MX(林明秀); Chen S(陈帅)
|
| 出版日期 | 2012 |
| 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 |
| 关键词 | Computer vision Forecasting |
| 页码 | 1465-1468 |
| 中文摘要 | 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. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 2 |
| 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 |
| 语种 | 英语 |
| ISBN号 | 978-1-4577-2072-7 |
| WOS记录号 | WOS:000323966201099 |
| 源URL | [http://ir.sia.cn/handle/173321/10401]  |
| 专题 | 沈阳自动化研究所_自动化系统研究室 |
| 推荐引用方式 GB/T 7714 | Lin MX,Chen S. A new prediction method for edge detection based on human visual feature[C]. 见:2012 24th Chinese Control and Decision Conference, CCDC 2012. Taiyuan, China. May 23-25, 2012. |
入库方式： OAI收割
来源：沈阳自动化研究所
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