Research on the Defects Identify of the Weld-line's Image of the In-service Pipeline Based on BP Neural Network

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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
	2017
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
英文摘要	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.
源文献作者	IEEE Harbin Sect
产权排序	1
会议录	PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017)
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://119.78.100.139/handle/173321/22051]
专题	沈阳自动化研究所_智能检测与装备研究室
通讯作者	Yin J(尹健)
作者单位	1.Open Pit Engineering Division, CCTEG Shenyang Engineering Company, Shenyang, China, 110015 2.Intelligent Detection and Equipment Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, 110016
推荐引用方式 GB/T 7714	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]. 见:. Harbin, China. June 3-5, 2017.