Laser & Optoelectronics Progress, Volume. 55, Issue 2, 021502(2018)

Roller Missing Detection in Deep Groove Ball Bearings Based on Machine Vision

Yong Hao1、*, Xiang Zhao1, Qinhua Wen1, Qingyuan Shang1, and Bin Chen1
Author Affiliations
  • 1 School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
  • 1 School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang, Jiangxi 330013, China;
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    Figures & Tables(8)
    Diagram of image acquisition system
    Obtained images under three lighting schemes. (a) Coaxial light source; (b) backlight source; (c) coaxial light source and backlight
    (a) Extraction bearing inner and outer rings; (b) a new circle produced under the traditional CHT model; (c) the estimated circle center
    Segmentation of bearing inner and outer rings
    Schematic of bearing expansion. (a) Ring expansion; (b) pixel correspondence before and after ring expansion
    Polar coordinate expansion of a perfect bearing (a) and a roller missing bearing (b)
    Data extraction of a perfect bearing (a) and a roller missing bearing (b)
    Identification results of a perfect bearing (a) and a roller missing bearing (b)
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    Yong Hao, Xiang Zhao, Qinhua Wen, Qingyuan Shang, Bin Chen. Roller Missing Detection in Deep Groove Ball Bearings Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021502

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    Paper Information

    Category: Machine Vision

    Received: Jun. 28, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Yong Hao (haonm@163.com)

    DOI:10.3788/LOP55.021502

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