Image Processing of Real-Time Automatic X-Ray Inspection System for Weld Defects
摘 要
针对焊缝缺陷X射线实时自动检测技术普遍存在误检率与漏检率高的问题, 研制了钢管焊缝缺陷X射线实时自动检测系统。研究了采用波形分析法与背景消除法信息融合进行焊缝缺陷检测的方法, 从而有效降低了误检率与漏检率。该系统已用于西气东输钢管焊缝缺陷X射线实时自动检测。
Abstract
Real-time automatic X-ray inspection technique has the advantage of good consistency and high automation, so it is fit for on-line inspection of long weld. However this technique is hard to be applied in practice due to high false alarm and missed detection rates. Aiming at this problem, the real-time X-ray automatic inspection system for weld defects in pipe was established. The information fusion was proposed in two defect segmentation methods of weld X-ray image et al, background subtraction and grey level wave analysis, thus the false alarm and missed detection rates were decreased greatly. This system was being used for steel pipe manufacture in the West-East natural gas transmission project.
中图分类号 TG115.28
所属栏目 科研成果与学术交流
基金项目 国家自然科学基金资助项目(50628506)
收稿日期 2008/4/10
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备注侯润石(1978-), 男, 博士研究生, 研究方向为用于无损检测的信息融合与图像处理技术。
引用该论文: HOU Run-Shi,SHAO Jia-Xin,WANG Li,DU Dong. Image Processing of Real-Time Automatic X-Ray Inspection System for Weld Defects[J]. Nondestructive Testing, 2009, 31(2): 99~101
侯润石,邵家鑫,王力,都东. 焊缝缺陷X射线实时自动检测系统的图像处理[J]. 无损检测, 2009, 31(2): 99~101
被引情况:
【1】陶亮,孙同景,李振华,左凯,张光先, "基于邻域对比度的X射线数字图像自适应增强法",无损检测 33, 19-22(2011)
【2】邵家鑫,都 东,王 力,王 晨,高志凌, "焊缝X射线胶片数字化图像低对比度细长线缺陷的检测",无损检测 32, 921-925(2010)
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参考文献
【1】Du Dong, Cai Guo-rui, Tian Yuan, et al. Automatic Inspection of Weld Defects with X-ray Real-Time Imaging[J]. Lecture Notes in Control and Information Sciences,2007,362:359-366.
【2】耿荣生.更快、更可靠和更直观——第16届世界无损检测会议综述[J].无损检测,2004,26(11):565-569.
【3】Tian Yuan, Du dong, Hou runshi, et al. A model of automatic detection system for weld defects based on machine vision[J]. Lecture Notes in Control and Information Sciences,2007,362:341-348.
【4】韩崇昭, 朱洪艳, 段战胜,等.多源信息融合[M].北京: 清华大学出版社, 2006.
【2】耿荣生.更快、更可靠和更直观——第16届世界无损检测会议综述[J].无损检测,2004,26(11):565-569.
【3】Tian Yuan, Du dong, Hou runshi, et al. A model of automatic detection system for weld defects based on machine vision[J]. Lecture Notes in Control and Information Sciences,2007,362:341-348.
【4】韩崇昭, 朱洪艳, 段战胜,等.多源信息融合[M].北京: 清华大学出版社, 2006.
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