Chinese Journal of Lasers, Volume. 50, Issue 16, 1602108(2023)

Laser Fringe Segmentation and Feature Points Location Method of Weld Image Based on Multi-Task Learning

Yigeng Huang1,2, Daqing Wang1、*, Man Jiang1, Haoyu Yin1, and Lifu Gao1,2
Author Affiliations
  • 1Institute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Science, Hefei 230031, Anhui, China
  • 2University of Science and Technology of China, Hefei 230026, Anhui, China
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    References(22)

    [1] Li L Y, Fu L J, Zhou X et al. Image processing of seam tracking system using laser vision[M]. Tarn T J, Chen S B, Zhou C J. Robotic welding, intelligence and automation. Lecture notes in control and information sciences, 362, 319-324(2007).

    [2] Liu S Y, Liu L T, Zhang H et al. Study of robot seam tracking system with laser vision[C], 1296-1301(2009).

    [3] Ogbemhe J, Mpofu K. Towards achieving a fully intelligent robotic arc welding: a review[J]. Industrial Robot: an International Journal, 42, 475-484(2015).

    [4] Sun Q C, Chen J, Li C J. A robust method to extract a laser stripe centre based on grey level moment[J]. Optics and Lasers in Engineering, 67, 122-127(2015).

    [5] Du J Z, Zhang Y X, Wang J J et al. Weld path identification based on kernel correlation/Kalman filters[J]. Chinese Journal of Lasers, 49, 0202009(2022).

    [6] Jia Z W, Wang T Q, He J J et al. Real-time spatial intersecting seam tracking based on laser vision stereo sensor[J]. Measurement, 149, 106987(2020).

    [7] Wu K X, Wang T Q, He J J et al. Autonomous seam recognition and feature extraction for multi-pass welding based on laser stripe edge guidance network[J]. The International Journal of Advanced Manufacturing Technology, 111, 2719-2731(2020).

    [8] Zou Y B, Wei X Z, Chen J X. Conditional generative adversarial network-based training image inpainting for laser vision seam tracking[J]. Optics and Lasers in Engineering, 134, 106140(2020).

    [9] Zou Y B, Chen T, Chen X Z et al. Robotic seam tracking system combining convolution filter and deep reinforcement learning[J]. Mechanical Systems and Signal Processing, 165, 108372(2022).

    [10] Xu F J, Zhang H J, Xiao R Q et al. Autonomous weld seam tracking under strong noise based on feature-supervised tracker-driven generative adversarial network[J]. Journal of Manufacturing Processes, 74, 151-167(2022).

    [11] Yang G W, Wang Y Z, Zhou N. Detection of weld groove edge based on multilayer convolution neural network[J]. Measurement, 186, 110129(2021).

    [12] Yang G W, Zhou N, Yang M et al. Automatic weld tracking based on convolution neural network and correlation filter[J]. Chinese Journal of Lasers, 48, 2202011(2021).

    [13] Zhang S K, Wu Q X, Lin Z Y. Detection and segmentation of structured light stripe in weld image[J]. Acta Optica Sinica, 41, 0515002(2021).

    [16] Fan M Y, Lai S Q, Huang J S et al. Rethinking BiSeNet for real-time semantic segmentation[C], 9711-9720(2021).

    [19] Wei S E, Ramakrishna V, Kanade T et al. Convolutional pose machines[C], 4724-4732(2016).

    [20] Toshev A, Szegedy C. DeepPose: human pose estimation via deep neural networks[C], 1653-1660(2014).

    [22] Zhang Y S, Yang G W, Wang Q Q et al. Weld feature extraction based on fully convolutional networks[J]. Chinese Journal of Lasers, 46, 0302002(2019).

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    Yigeng Huang, Daqing Wang, Man Jiang, Haoyu Yin, Lifu Gao. Laser Fringe Segmentation and Feature Points Location Method of Weld Image Based on Multi-Task Learning[J]. Chinese Journal of Lasers, 2023, 50(16): 1602108

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    Paper Information

    Category: Laser Forming Manufacturing

    Received: Jul. 15, 2022

    Accepted: Sep. 13, 2022

    Published Online: Jul. 31, 2023

    The Author Email: Wang Daqing (dqwang@iim.ac.cn)

    DOI:10.3788/CJL221057

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