An Evaluation Method of Weld Formation Based on Binocular Stereo Vision

Abstract

Abstract:

Abstract： A new method was proposed to evaluate weld formation based on binocular stereo vision. First, visual images that contain all information of weld formation were seperated from the images acquiced. With similarity measurement function, and with the size of matching window and similarity threshold being confirmed, an area matching algorithms was established based on gray value to measure weld formation. Next, three dimensional coordinates of weld formation was established by means of matching disparity map, based on which the extraction of weld width and weld hight and the reconstruction of weld formation images were accomplished in three dimension. Finally, according to the requirement of Chinese Standard GB10854—89, for the size examination of steel structure, the indexes to evaluate weld external quality were set up. The four indexes are the difference between maximum and minimum of weld width, the difference between maximum and minimum of weld height, the full degree of weld filled and straightness of weld formation. Weld test results show that weld formation can be evaluated by means of visual measurement method and the indexes.
Key words：

Key words: weld formation, binocular stereo vision (BSV), forming parameters, evaluation indexs

CLC Number:

TG 115.28

ZHANG Pengxian1,LI Ming1,FENG Yi2. An Evaluation Method of Weld Formation Based on Binocular Stereo Vision[J]. Journal of Shanghai Jiaotong University, 2015, 49(01): 44-48.

References

［1］Mhamed B I, Abid S, Fnaiech F. Weld defect detection using a modified anisotropic diffusion model［EB/OL］. ［20130904］.http://link.springer.com/article/10.1186%2F16876180201246.

［2］Zhang J D, Lu J G. Measuring propeller blade width using binocular stereo vision［J］. Journal of Marine Science and Application, 2012, 10(2):246251.

［3］于兵，张为公，龚宗洋，等. 基于机器视觉的的车道偏离报警系统［J］. 东南大学学报，2009，39（5）：928932.

YU Bing, ZHANG Weigong, GONG Zongyang, et al. Lane departure warning system based on maching vision［J］. Journal of Southeast University, 2009, 39(5): 928932.

［4］胡民政，习俊通. 面向结构光三维测量的两轴转台标定［J］. 上海交通大学学报，2010，44（4）：506511.

HU Minzheng, XI Juntong. Twoaxis turntable calibration in threedimensional structured light measurement system［J］. Journal of Shanghai Jiaotong University, 2010, 44(4): 506511.

［5］张鹏贤，卢忠建，曹成虎, 等．基于双目立体视觉埋弧焊焊缝成形的表征［J］．焊接学报，2012，33(2):9396.

ZHANG Pengxian, LU Zhongjian, CAO Chenghu, et al. Characterization of submerged arc welding seam formation based on binocular stereo vision［J］. Transaction of the China Welding Institution, 2012, 33(2):9396.

［6］Hartley R I.Theory and practice of projective rectification［J］．International Journal of Computer Vision, 1999，35(2):115127．

［7］刘小群. 基于双目立体视觉的立体匹配算法研究［D］. 长沙：中南大学信息科学与工程学院，2011.

［8］Bleyer M, Gelautz M. Graphcutbased stereo matching using image segmentation with symmetrical treatment of occlusions［J］. Signal Processing: Image Communication, 2007, 22(2):127143.

［9］Hirschmuller H, Innocent P R, Garibaldi J. Realtime correlationbased stereo vision with reduced border errors［J］. International Journal of Computer Vision, 2002, 47(13): 229246.

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