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题名:
Steel bars counting and splitting method based on machine vision
作者: Wu Y(吴阳); Zhou XF(周晓锋); Zhang YC(张宜弛)
作者部门: 数字工厂研究室
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
会议录: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 420-425
收录类别: EI ; CPCI(ISTP)
EI收录号: 20161402187573
WOS记录号: WOS:000380502300081
产权排序: 2
ISSN号: 2379-7711
ISBN号: 978-1-4799-8730-6
关键词: steel bars count ; concave point segment ; match ; klevel fault tolerance ; visual feedback
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.
语种: 英语
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/18527
Appears in Collections:数字工厂研究室_会议论文

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作者单位: 1.Wuxi CAS Ubiquitous Information Technology RandD, Center Co., Ltd, Wuxi, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

Recommended Citation:
Wu Y,Zhou XF,Zhang YC. Steel bars counting and splitting method based on machine vision[C]. 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.Steel bars counting and splitting method based on machine vision.
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