Real-Time State Recognition of Switches on Electrical Cabinet Panel Using Hybrid Visual Features
文献类型：会议论文
| 作者 | Zhang YL(张吟龙)1,2 ; Liang W(梁炜)2,4,5; Yuan MZ(苑明哲)1,2; Xiao JC(肖金超)1,2; Li, Jun3; Peng SW(彭士伟)2,4,5
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| 出版日期 | 2020 |
| 会议日期 | July 21-23, 2020 |
| 会议地点 | Virtual, Warwick, United kingdom |
| 页码 | 920-925 |
| 英文摘要 | An automatic and accurate state recognition of switches on electrical cabinet control panels plays an increasingly important role in the routine inspection of power equipment. This paper presents a novel method for real-Time cabinet panel switch state recognition using hybrid visual features. Compared to traditional methods, the proposed approach can ensure the rectangular object regions from images captured at arbitrary angles by applying the perspective transformation model. Besides, the switch regions are segmented and the corresponding visual features are extracted on HSV space, instead of raw RGB space, which overcomes the illumination variability issues. The morphological operations and the inherent geometrical constraints, are employed to group the switch regions. Eventually, the switch recognition is implemented on high-dimensional vector space using feature similarity discriminants. The proposed method has been evaluated on the image dataset collected from power station cabinets. The experimental results verify the effectiveness of the method. |
| 源文献作者 | IEEE Industrial Electronics Society (IES) ; The Institute of Electrical and Electronics Engineers (IEEE) |
| 产权排序 | 1 |
| 会议录 | 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 1935-4576 |
| ISBN号 | 978-1-7281-4964-6 |
| 源URL | [http://ir.sia.cn/handle/173321/29376]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Liang W(梁炜); Yuan MZ(苑明哲) |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Guangzhou 511548, China 2.Institutes for Robotics Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 3.Microcyber Corporation, Shenyang 110179, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 5.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Zhang YL,Liang W,Yuan MZ,et al. Real-Time State Recognition of Switches on Electrical Cabinet Panel Using Hybrid Visual Features[C]. 见:. Virtual, Warwick, United kingdom. July 21-23, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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