Steel bars counting and splitting method based on machine vision
文献类型：会议论文
| 作者 | Wu Y(吴阳); Zhou XF(周晓锋) ; Zhang YC(张宜弛)
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| 出版日期 | 2015 |
| 会议名称 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
| 会议日期 | June 8-12, 2015 |
| 会议地点 | Shenyang, China |
| 关键词 | steel bars count concave point segment match klevel fault tolerance visual feedback |
| 页码 | 420-425 |
| 中文摘要 | This paper proposes a novel on-line steel bars counting and splitting method based on machine vision which uses concave dots matching to segment, K-level fault tolerance to count and visual feedback to multiple split automatically. Firstly, it preprocesses images of bars and uses connected area analysis to obtain edge profile of adherent bars, then scans concave areas in the contour and find concave dots. Secondly, it uses concave dot matching condition to segment and counts single bar after segmentation to achieve counting purpose through movement estimation and K-level fault tolerance algorithm. Finally, visual feedback is presented, if preliminary split is wrong, redraw the line for splitting and drive the splitting mechanism again. Experiment results show that the method has a high accuracy for segmentation of adherent bars, and can split steel bars accurately. The accuracy ratio of segmentation for steel bars whose diameters are between 8mm and 20mm is more than 99.90%, which satisfies the accepted standard of enterprises. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 2 |
| 会议录 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
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| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-4799-8730-6 |
| WOS记录号 | WOS:000380502300081 |
| 源URL | [http://ir.sia.cn/handle/173321/18527]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 推荐引用方式 GB/T 7714 | Wu Y,Zhou XF,Zhang YC. Steel bars counting and splitting method based on machine vision[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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