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Research on automatic identification of substation circuit breaker based on shape priors
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)
Department机器人学研究室
Conference Name2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013
Conference DateDecember 24-25, 2013
Conference PlaceShenzhen, China
Author of Sourceet al; Hong Kong Industrial Technology Research Centre; Inha University; Korea Maritime University; National Chengchi University, Taiwan; Queensland University of Technology
Source PublicationApplied Mechanics and Materials
PublisherTrans Tech Publications
Publication PlaceZurich-Durnten, Switzerland
2013
Pages923-926
Indexed ByEI ; CPCI(ISTP)
EI Accession number20141017436184
WOS IDWOS:000348897400183
Contribution Rank1
ISSN1660-9336
ISBN978-3-03835-017-0
KeywordAlgorithms Automation Character Recognition Inspection Sensors
AbstractHigh-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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/14595
Collection机器人学研究室
Corresponding AuthorWang T(王挺)
Affiliation1.Shenyang Institute of Automation Chinese Academy of Science, Shenyang 110016, China
2.Anshan Power Supply Company of Liaoning Electric Power Company Limited, Anshan 114001, China
Recommended Citation
GB/T 7714
Wang T,Yao C,Liu J,et al. Research on automatic identification of substation circuit breaker based on shape priors[C]//et al; Hong Kong Industrial Technology Research Centre; Inha University; Korea Maritime University; National Chengchi University, Taiwan; Queensland University of Technology. Zurich-Durnten, Switzerland:Trans Tech Publications,2013:923-926.
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