Advanced Search
GAO Xiangdong, CHEN Tingyan, ZHANG Yanxi, YOU Deyong. Detection of tight-butt joint weld based on multi-scale morphology of magneto-optical image[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(4): 43-46. DOI: 10.12073/j.hjxb.20170410
Citation: GAO Xiangdong, CHEN Tingyan, ZHANG Yanxi, YOU Deyong. Detection of tight-butt joint weld based on multi-scale morphology of magneto-optical image[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(4): 43-46. DOI: 10.12073/j.hjxb.20170410

Detection of tight-butt joint weld based on multi-scale morphology of magneto-optical image

More Information
  • Received Date: July 02, 2015
  • A magneto-optical sensor is applied to acquire magneto-optical images of tight-butt joint weld whose width is less than 0.1mm. Edge details are often missed and the accuracy of weld detection is influenced when traditional morphology algorithm is applied to detect the edge of micro-gap weld magneto-optical image. Thus, selecting structure elements of three different scales at each different four directions with an approach of multi scales and multi structure elements based on morphology is used to acquire the micro-gap weld edge information. Also, the multi-scale edge detection result is compared with those results using traditional wavelet transform and Sobel algorithm. Three groups of experiments are carried out under different magnetic induction fields to detect the weld center by using the approaches based on multi-scale morphology and traditional morphology, respectively. According to the results, the multi scales and multi structure elements approach can obtain the micro-gap weld center more effectively, which provides a testing basis for tight-butt joint weld recognition and tracking.
  • Gao X D, You D Y, Katayama S. Seam tracking monitoring based on adaptivekalman filter embedded elman neural network during high-power fiber laser welding[J]. IEEE Transactions on Industrial Electronics, 2012, 59(11): 4315-4325.
    陈海永, 孙鹤旭, 徐 德. 一类窄焊缝的结构光图像特征提取方法[J]. 焊接学报, 2012, 33(1): 61-64. Chen Haiyong, Sun Hexu, Xu De. An image feature extraction method for a certain kind of narrow gap weld seam[J]. Transactions of the China Welding Institution, 2012, 33(1): 61-64.
    高向东, 甄任贺. 微间隙焊缝磁光成像检测方法[J]. 焊接学报, 2014, 35(4): 11-14. Gao Xiangdong, Zhen Renhe. A method to detect micro weld joint based on magneto-optical imaging[J]. Transactions of the China Welding Institution, 2014, 35(4): 11-14.
    Curic V, Landström A, Thurley M J, et al. Adaptive mathematical morphology-a survey of the field[J]. Pattern Recognition Letters, 2014, 47(1): 18-28.
    李 刚, 贺昱曜. 多方位结构元素路面裂缝图像边缘检测算法[J]. 计算机工程与应用, 2010, 46(1): 224-226. Li Gang, He Yuyao. Edge detection for road crack image with multi-direction morphological structuring elements[J]. Computer Engineering and Applications, 2010, 46(1): 224-226.
    Zhou H, Peng D, Wang X, et al. A novel algorithm of edge location based on omni-directional and multi-scale MM[J]. Journal of Computers, 2014, 9(4): 990-997.
  • Related Articles

    [1]CHEN Yuquan, GAO Xiangdong. Neural network compensation for micro-gap weld detection by magneto-optical imaging[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(10): 33-36.
    [2]GAO Xiangdong, HUANG Guanxiong, XIAO Zhenlin, CHEN Xiaohui. Micro weld detection based on magneto-optical lmaging and wavelet multi-scale fusion[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(4): 1-4.
    [3]ZHENG Ziyun, MA Bing, FENG Shengqiang, LIU Guang. Influence of process parameters on the cracking rate and morphology of the laser melting and quenching zone in vermicular graphite cast iron[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2014, 35(4): 58-62.
    [4]GAO Xiangdong, ZHEN Renhe. A method to detect micro weld gap based on magneto-optical imaging[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2014, 35(4): 11-14.
    [5]WANG Jian, WEI Shanchun, LIN Tao, CHEN Shanben. Application of image morphology in detection of initial welding position[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (4): 21-24.
    [6]ZHENG Xiaoyi, CONG Dazhi, LI Xin, ZHAO Lei, LI Yuhua, REN Zhenan. Morphologies and growth mechanism of TiN in ceramic surface layers prepared by nitrogen arc[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (12): 29-32.
    [7]GAO Fei, WANG Kehong, LIANG Yongshun, ZHAN Lanlan, ZHANG Yan. A multi-scale fractal image segmentation method for arc welding pool[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (11): 33-36.
    [8]ZHENG Xiang-feng, WANG Qing, NIU Xiao-guang. Extracting borderline of CO2 arc welding molten pool image using gray-scale morphology[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (1): 105-108.
    [9]XUE Jia-xiang, ZHANG Li-ling. Gray scale morphological analysis on molten pool image of metal active-gas welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (4): 13-16.
    [10]SHI Yu, FAN Ding, WU Wei. Morphology processing image of aluminum alloy metal inert gas welding pool[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (3): 37-40.
  • Cited by

    Periodical cited type(7)

    1. 陈文仕,何日恒,金礼,姚屏. 电流波形对2209双相不锈钢双丝增材制造的影响. 机电工程技术. 2025(04): 46-49+111 .
    2. 夏玉峰,滕海灏,张雪,郑德宇,权国政. Ti-6Al-4V合金电弧熔丝增材的组织性能研究进展. 重庆大学学报. 2022(04): 87-99 .
    3. 刘玉项,王启伟,朱胜. 励磁电流对6061铝合金MIG焊熔敷层组织及性能的影响. 焊接技术. 2021(05): 12-16+179 .
    4. 张大越,刘旭明,张建,李彬周,赵阳,王军生. TC4-DT激光熔丝增材制造微观组织与力学性能研究. 钢铁钒钛. 2021(06): 97-101 .
    5. 李广德,王瑛,李伟伦. 热处理制度对汽车用TC6钛合金组织及性能的影响. 钢铁钒钛. 2021(06): 147-152 .
    6. 徐国建,柳晋,陈冬卅,马瑞鑫,苏允海. 正火温度对电弧增材制造Ti-6Al-4V组织与性能的影响. 焊接学报. 2020(01): 39-43+99 . 本站查看
    7. 杨东青,王小伟,黄勇,李晓鹏,王克鸿. 熔化极电弧增材制造18Ni马氏体钢组织和性能. 焊接学报. 2020(08): 6-9+21+97 . 本站查看

    Other cited types(5)

Catalog

    Article views (444) PDF downloads (427) Cited by(12)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return