Journal of Terahertz Science and Electronic Information Technology , Volume. 18, Issue 6, 1122(2020)

Defect circle detection method based on random sampling and voting strategy

KONG Jun1, GUO Xiuzhen2、*, BAI Fuzhong1, and XU Yongxiang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [11] [11] GUO J,YANG J. An iterative procedure for robust circle fitting[J]. Communication in Statistics―Simulation and Computation, 2018,47(11):1-8.

    [15] [15] JIANG L,WANG Z,YE Y,et al. Fast circle detection algorithm based on sampling from difference area[J]. Optik - International Journal for Light and Electron Optics, 2018(158):424-433.

    [16] [16] BING Z,YANG H. Fast circle detection using spatial decomposition of Hough transform[J]. International Journal of Pattern Recognition & Artificial Intelligence, 2017,31(3):1755006-1-22.

    [20] [20] CHENG Y C. A new method for quadratic curve detection using K-RANSAC with acceleration techniques[J]. Pattern Recognition, 1995,28(5):515-518.

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    KONG Jun, GUO Xiuzhen, BAI Fuzhong, XU Yongxiang. Defect circle detection method based on random sampling and voting strategy[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(6): 1122

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    Paper Information

    Received: Aug. 15, 2019

    Accepted: --

    Published Online: Apr. 20, 2021

    The Author Email: Xiuzhen GUO (guoxiuz@163.com)

    DOI:10.11805/tkyda2019298

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