Advanced Search
GAO Weixin, HU Yuheng, MU Xiangyang, WANG Zhi. Study on sub-arc X-ray welding image defect segmentation algorithm and defect model[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (4): 37-41.
Citation: GAO Weixin, HU Yuheng, MU Xiangyang, WANG Zhi. Study on sub-arc X-ray welding image defect segmentation algorithm and defect model[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (4): 37-41.

Study on sub-arc X-ray welding image defect segmentation algorithm and defect model

More Information
  • Received Date: January 21, 2011
  • Regarding the present problems that the traditional image segmentation algorithm can only achieve a low successful defect segmentation ratio for the strong noise and low contrast of submerged-arc x-ray image,an efficient X-ray radiography image analysis algorithm is developed for the task of segmentation of submerged-arc welding defects.In the new algorithm,the defect is treated as noise and a new concept-"gray density" is put forward for calculation convenience.Tested with 100 X-ray radiography images obtained from a real factory,the proposed algorithm can increase successful segmentation ratio and achieves a successful ration of 95%.Based on the clustering segmentation algorithm,a high dimension space defect mathematical model is presented.The model makes the characteristic of the complexity of the form into consideration.Real examples show that the model is effective and practical.The sensitivity curve of the presented clustering segmentation algorithm is also given.
  • Related Articles

    [1]LIANG Enbao, HU Shengsun, WANG Zhijiang. Optimization of GTAW cladding process of Inconel 625 on carbon steel using response surface methodology[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(6): 85-88,108.
    [2]DU Xianchang, WANG Yi, GUO Shulan, YANG Chunguang. Uniform design and optimization of active flux for A-TIG welding of AZ31B magnesium alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2014, 35(4): 67-70.
    [3]JIANG Wenchun, YANG Bin, ZHANG Yucai, GONG Jianming. Structure optimization of T-nozzle in hydrogenated reactor[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (6): 49-52.
    [4]ZHOU Guangtao, LIU Xuesong, YAN Dejun, FANG Hongyuan. Prediction for welding deformation reducing by welding sequence optimization of upper plate[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (9): 109-112.
    [5]SHU Fuhua. Friction welding technological parameter optimization based on LSSVM and AFSA[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (12): 104-108.
    [6]ZHANG Guodong, XUE Jilin, ZHOU Chang Yu. Optimization on welding procedure of high temperature pipeline based on orthogonal test design[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (11): 53-56.
    [7]ZHAO Xin, ZHANG Yan-song, CHEN Guan-long, ZHANG Xiao-yun. Performance prediction in spot welding of body galvanized steel sheets based on artificial neural network and its optimization[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (12): 77-80,84.
    [8]LIU Xue-mei, YAO Jun-shan, ZHANG Yan-hua. Optimization for friction surfacing parameters[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2004, (6): 99-102.
    [9]Wang Xinzhi, Chen Wuzhu, Cheng Shihong. A New Method for Optimizing Welding Inverter Using Assisting Circuit[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1998, (1): 56-61.
    [10]Gang Tie, Takayoshi OHJI. On-line idcntification of mathematical model parameters and selection of optimized welding parameters[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1992, (4): 225-230.

Catalog

    Article views (259) PDF downloads (146) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return