Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 5, 796(2025)

Full-surface imaging of rotary workpieces based on adaptive brightness correction

Bin LIU1, Qian LIU2、*, Weiwei MING1, and Xiaojin HUANG2
Author Affiliations
  • 1School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
  • 2Institute of Machinery Manufacturing Technology,China Academy of Engineering Physics,Chengdu 610200,China
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    References(22)

    [4] LIU Z L, CAO W, GAO J W. Defect detection of small object solder joints based on improved YOLOv7[J]. Chinese Journal of Liquid Crystals and Displays, 39, 1332-1340(2024).

    [5] HUANG H, CHEN Y X, YANG S N. On-line inspection system for surface defects of tapered roller based on image processor[J]. Machinery & Electronics, 77-80(2014).

    [6] HE H. Research on low-texture image stitching for the surface defect location of large metal component[D](2020).

    [7] MA G Q. Research on detection technology of workpiece surface defects in large field of view based on deep learning[D](2020).

    [15] LIU J P, ZHAO Y M, HU F Q. A nonlinear image enhancement algorithm based on single scale Retinex[J]. Journal of Shanghai Jiaotong University, 41, 685-688(2007).

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    Bin LIU, Qian LIU, Weiwei MING, Xiaojin HUANG. Full-surface imaging of rotary workpieces based on adaptive brightness correction[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(5): 796

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    Paper Information

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    Received: Oct. 28, 2024

    Accepted: --

    Published Online: Jun. 18, 2025

    The Author Email: Qian LIU (liuqianblue@126.com)

    DOI:10.37188/CJLCD.2024-0314

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