Advanced Search
CHEN Haiyong, REN Yafei, WANG Yanan, CAO Junqi. Clear image acquisition of V-shaped welding area based on visual attention[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(9): 19-24,35. DOI: 10.12073/j.hjxb.2018390217
Citation: CHEN Haiyong, REN Yafei, WANG Yanan, CAO Junqi. Clear image acquisition of V-shaped welding area based on visual attention[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(9): 19-24,35. DOI: 10.12073/j.hjxb.2018390217
shu

Clear image acquisition of V-shaped welding area based on visual attention

  • School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China

More Information
  • Received Date: April 05, 2017
    Graphical Abstract
    • Abstract
  • In the welding process, the welding region has large brightness range and random variation, which result in great disturbance of the weld image and are difficult to extract features. In this paper, a method of obtaining clear image for welding area based on visual attention is proposed by using the directional characteristics of laser fringes and the brightness characteristics of structured light and molten pool in the image. Firstly a unidirectional feature map of structured light fringes under different detection directions is obtained for the weld area image, and the Multi-orientation feature map is obtained by weighted fusion. Secondly, the original image is enhanced by the high-pass Butterworth filter to obtain the intensity feature map. Then, an improved saliency measure method is proposed to realize the good segmentation between the salient region and the complex background image region. Finally, a clear image of structured light and molten pool is obtained by image fusion normalization, and the effect of image saliency detection is evaluated objectively by clustering center distance. The experimental results show that the proposed method is effective.
    • FullText(HTML)
    • References (11)
  • 李原, 徐德, 沈扬, 等. 一种焊缝结构光图像处理与特征提取方法[J]. 焊接学报, 2006, 27(9):25-31 Li Yuan, Xu De, Shen Yang, et al. An image processing and feature extraction methods for structured light image of welding seam[J]. Transactions of the China Welding Institution, 2006, 27(9):25-31, doi: 10.3321/j.issn:0253-360X.2006.09.007
    邹怡蓉, 都东, 曾锦乐, 等. 基于多视觉特征获取与信息融合的焊道识别方法[J]. 焊接学报, 2013, 34(5):33-36 Zou Yirong, Du Dong, Zeng Jinle, et al. Visual method for weld seam recognition based on multi-feature extraction and information fusion[J]. Transactions of the China Welding Institution, 2013, 34(5):33-36
    林欣堂, 朱莉, 张海波. 多层多道焊接结构光中心线提取[J]. 焊接学报, 2016, 37(7):105-108 Lin Xintang, Zhu Li, Zhang Haibo. Extracting center of line structured light for multi-layer and multi-pass welding technology[J]. Transactions of the China Welding Institution, 2016, 37(7):105-108
    顾帆, 陈华斌, 何银水, 等. 基于激光视觉的多层多道焊接坡口特征点提取方法[J]. 上海交通大学学报, 2016(S1):62-65 Gu Fan, Chen Huabin, He Yinshui, et al. Method for extracting multi-pass welding groove feature point based on laser vision[J]. Journal of Shanghai Jiaotong University, 2016(S1):62-65
    Fang Z, Xu D, Tan M. A Vision-based self-tuning fuzzy controller for fillet weld seam tracking[J]. IEEE/ASME Transactions on Mechatronics, 2011, 16(3):540-550. doi: 10.1109/TMECH.2010.2045766
    Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(11):1254-1259. doi: 10.1109/34.730558
    Harel J, Koch C, Perona P. Graph-based visual saliency[C]//Proceedings of the 19th International Conference on Advances inNeural Information Processing Systems, Vancouver, Canada, 2006:545-52.
    何银水, 孔萌, 陈华斌, 等. 基于视觉注意机制的机器人厚板焊接焊缝轮廓的识别[J]. 焊接学报, 2015, 36(12):51-55 He Yinshui, Kong Meng, Chen Huabin, et al. Weld seam profile identification based on visual attention mechanism in robotic thick-plate welding[J]. Transactions of the China Welding Institution, 2015, 36(12):51-55
    He Y, Xu Y, Chen Y, et al. Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model[J]. Robotics and Computer-Integrated Manufacturing, 2016, 37:251-261. doi: 10.1016/j.rcim.2015.04.005
    于明, 邳艳芹. 一种改进的显著性区域提取模型[J]. 电视技术, 2012, 36(19):167-169 Yu Ming, Pi Yanqin. Improved model of salient regions extraction[J]. Video Engineering, 2012, 36(19):167-169, doi: 10.3969/j.issn.1002-8692.2012.19.045
    Xu Y, Lü N, Zhong J, et al. Research on the real-time tracking information of three-dimension welding seam in robotic GTAW process based on composite sensor technology[J]. Journal of Intelligent & Robotic Systems, 2012, 68(2):89-103.
    • Related Articles

  • Related Articles

    [1]XU Yuanzhao, LUO Jiutian, FANG Naiwen, FENG Zhiqiang, WU Pengbo, LI Quan. Image processing technology for ship plate melt pool based on MS-FCM algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(3): 82-90. DOI: 10.12073/j.hjxb.20231010001
    [2]DAI Xinxin, GAO Xiangdong, ZHENG Qiaoqiao, JI Yukun. A method of fuzzy clustering identification for weld defects by magneto-optical imaging[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2021, 42(1): 54-57. DOI: 10.12073/j.hjxb.20200525001
    [3]WANG Zhongren, WANG Xiaogang, LIU Dezheng, LIU Haisheng. Welding deviation measurement method based on welding torch contour feature extraction[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(7): 59-64. DOI: 10.12073/j.hjxb.20191026002
    [4]FANG Jimi, WANG Kehong, HUANG Yong. Research on image fusion method of visible and near infrared weld pool[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(5): 18-23. DOI: 10.12073/j.hjxb.2019400121
    [5]GAO Xiangdong, LIANG Jianbin, LIU Guiqian, ZHANG Yanxi. Identification of high-power fiber laser welding penetration based on fuzzy clustering algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(5): 22-25. DOI: 10.12073/j.hjxb.20170505
    [6]TANG Zhengkui, DONG Junhui, ZHANG Yongzhi, HOU Jijun. Prediction of mechanical properties of welding joints by hybrid cluster fuzzy RBF neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2014, 35(12): 105-108.
    [7]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.
    [8]WANG Tao, YANG Jianguo, LIU Xuesong, FANG Hongyuan, ZHOU Lipeng. Influence of joint geometric parameters on shape factor of under-matched butt joint with center crack[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (1): 101-104.
    [9]YAO Shang-wei, ZHAO Lu-yu, XU Ke, WANG Ren-fu. Effect of welding thermal cycle on toughness of continuous cast-ing steel center[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (10): 97-100.
    [10]CHEN Zhang-lan, GAO Xiang-dong, CHEN Yong-ping, XIE Zhi-meng. Arithmetic of welding visual image centroid and its characteristics[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (4): 17-20,24.

  • Cited by

    Periodical cited type(3)

    1. 王颖，高胜，戴哲. 基于CNN-Transformer混合网络的焊缝激光条纹分割. 中国激光. 2024(24): 113-124 .
    2. 乐猛，张华，叶艳辉，尚志军，赵琪. 膜式壁焊缝图像处理及其识别方法. 热加工工艺. 2021(01): 107-111 .
    3. 张世宽，吴清潇，林智远. 焊缝图像中结构光条纹的检测与分割. 光学学报. 2021(05): 88-96 .

    Other cited types(1)

Catalog

    Get Citation
    XML
    Article views (684) PDF downloads (188) Cited by(4)
    Turn off MathJax
    Article Contents
    Abstract
    References
    Related Articles

    Website Copyright © Editorial Office of Transactions of the China Welding Institution, Welding Journals Publishing HouseTel：0451-86323218Address：No. 2077, Chuangxin Road, Songbei District, Harbin

    Supported by: Beijing Renhe Information Technology Co. Ltd    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return