Research on the Defects Identify of the Weld-line's Image of the In-service Pipeline Based on BP Neural Network | |
Yuan, Gao; Yin J(尹健); Wang ZW(王照伟)![]() ![]() ![]() ![]() ![]() | |
2017 | |
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 |
关键词 | Welding-line defects BP neural network Image recognition |
页码 | 366-371 |
通讯作者 | Yin J(尹健) |
中文摘要 | 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. |
收录类别 | CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | IEEE Harbin Sect |
会议录 | PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017)
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会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-5386-0843-2 |
WOS记录号 | WOS:000426992300063 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/22028] ![]() |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
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 |
推荐引用方式 GB/T 7714 | Yuan, Gao,Yin J,Wang ZW,et al. Research on the Defects Identify of the Weld-line's Image of the In-service Pipeline Based on BP Neural Network[C]. 见:1st International Conference on Electronics Instrumentation & Information Systems (EIIS). Harbin, China. June 3-5, 2017. |
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