Advanced Search
XIE Zhi-meng, GAO Xiang-dong. Edge detection of weld image based on Canny operator[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (1): 29-32,36.
Citation: XIE Zhi-meng, GAO Xiang-dong. Edge detection of weld image based on Canny operator[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (1): 29-32,36.

Edge detection of weld image based on Canny operator

More Information
  • Received Date: October 07, 2004
  • Weld edge is the most important characteristic in a weld image.The fact of selecting an appropriate edge-detecting operator and obtaining the accurate weld edge information is a key process in weld image processing.The canny operator was used to extract the weld edge,and its principle and implementation were discussed.And the canny operator,kirsch operator,prewitt operator,robert operator,sobel operator and gauss-laplace operator were applied in detecting the weld edges to test the effects,respedively.The analyzsis of the weld image and weld center coordinates showed that the canny operator is a very effective way to detect the weld edge,and also suitable for the seamtracking process based on vision sensors.
  • Related Articles

    [1]LIU Jifeng, XIAO Zengwen, ZOU Jingchao, YANG Xiaolan. An image processing method for vision tracking of sliding door seam[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (5): 61-60.
    [2]LIU Xiaogang, XIE Cunxi, ZHANG Changnian, XU Jiayuan. Acqusition and processing of seam image based on reflected arc light[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (4): 73-76.
    [3]ZHENG Zhewei, ZHANG Wenzeng, CHEN Qiang, DU Dong, SUN Zhenguo. Multi-step GPI method by circular sub-window for weld detection in image[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (8): 77-80.
    [4]ZHAO Xiang-bin, LI Liang-yu, XIA Chang-liang, FU Ling-jian. Image processing of seam tracking system with laser vision[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (12): 42-44,48.
    [5]LI Yuan, XU De, SHEN Yang, TAN Min. A image processing and features extraction method for structured light image of welding seam[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (9): 25-30.
    [6]LIU Xi-wen, WANG Guo-rong, SHI Yong-hua. Image processing in welding seam tracking based on single-stripe laser[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (6): 25-28,32.
    [7]GU Chun-yan, ZHANG Li-bin, HU Bao-jian, LIU Chao-ying, HUANG Wei. Application of image processing automatic tracking of CO2 arc welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2004, (4): 70-72.
    [8]GE Jing-guo, RAO De-lin, ZHU Zheng-qiang, CHEN Li-gong. A machine vision approach to welding tube longitudinal seam tracking in real time[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2003, (6): 77-80,88.
    [9]GAO Xiang-dong, LUO Xi-zhu, S. J. Na. An image centroid method for seam tracking in gas tungsten arc welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2003, (6): 15-18.
    [10]He Jingshan, YANG Chunli, Lin Sanbao, et al. Image Method Seam Tracking Sensing System without Auxiliary Light in TIG Welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2000, (1): 37-40.

Catalog

    Article views (280) PDF downloads (116) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return