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Research on the Defects Identify of the Weld-line's Image of the In-service Pipeline Based on BP Neural Network
Yin J(尹健); Yuan, Gao
作者部门智能检测与装备研究室
会议名称1st International Conference on Electronics Instrumentation & Information Systems (EIIS)
会议日期June 3-5, 2017
会议地点Harbin, China
会议主办者IEEE Harbin Sect
会议录名称PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017)
出版者IEEE
出版地New York
2017
页码366-371
收录类别CPCI(ISTP)
WOS记录号WOS:000426992300063
产权排序1
ISBN号978-1-5386-0843-2
关键词Welding-line defects BP neural network Image recognition
摘要This paper applied computer aided technique to do the image recognition work of the welding-line's defects. And this paper uses aspect ratio, roundness, compactness, symmetry, steepness, gray contrast of defect and the background, position of the defect as the defects' eigenvalues. And this paper applied BP neural network to recognize the defects. And experiments are used to get the best values of the eigenvalues.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22051
专题智能检测与装备研究室
通讯作者Yin J(尹健)
作者单位1.Intelligent Detection and Equipment Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, 110016
2.Open Pit Engineering Division, CCTEG Shenyang Engineering Company, Shenyang, China, 110015
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Yin J,Yuan, Gao. Research on the Defects Identify of the Weld-line's Image of the In-service Pipeline Based on BP Neural Network[C]//IEEE Harbin Sect. New York:IEEE,2017:366-371.
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