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题名: Research on automatic identification of substation circuit breaker based on shape priors
作者: Wang T(王挺) ; Yao C(姚辰) ; Liu J(刘君) ; Zhang CL(张朝龙) ; Hu SG(胡绍刚) ; Gu HQ(顾洪群) ; Jia MY(贾明月)
作者部门: 机器人学研究室
会议名称: 2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013
会议日期: December 24-25, 2013
会议地点: Shenzhen, China
会议主办者: et al; Hong Kong Industrial Technology Research Centre; Inha University; Korea Maritime University; National Chengchi University, Taiwan; Queensland University of Technology
会议录: Applied Mechanics and Materials
会议录出版者: Trans Tech Publications
会议录出版地: Zurich-Durnten, Switzerland
出版日期: 2013
页码: 923-926
收录类别: CPCI(ISTP) ; EI
ISSN号: 1660-9336
ISBN号: 9783038350170
关键词: Algorithms ; Automation ; Character recognition ; Inspection ; Sensors
摘要: High-pressure circuit breakers are very important and it undertakes the disconnection and connection control of high voltage transmission lines. It is one of the equipment of substation daily inspection. State of breakers are judged by "open" and"close" characters label, so a shape-prior active contour model to realize state automatic recognition of breaker images collected by inspection robot is presented in this paper. Shape-prior active contour model combines the shape information with CV model to build energy functional model, then set up initial position curve by a priori knowledge and drives the curve evolution in minimize energy functional process, the curve position is the character label contour when energy functional shows minimum. We do experiment for the algorithm on different images, demonstrate that the algorithm based on known character contour, have good segmentation results of circuit breaker in the image character recognition accuracy and applicability when the circuit breaker character is actually partial occlusion, local deformation, scale changes.
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内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/14595
Appears in Collections:机器人学研究室_会议论文

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