Defect circle detection method based on random sampling and voting strategy

KONG Jun; GUO Xiuzhen; BAI Fuzhong; XU Yongxiang

doi:10.11805/tkyda2019298

Journals >Journal of Terahertz Science and Electronic Information Technology >Volume 18 >Issue 6 >Page 1122 > Article

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

Defect circle detection method based on random sampling and voting strategy

KONG Jun¹, GUO Xiuzhen^2、*, BAI Fuzhong¹, and XU Yongxiang¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.11805/tkyda2019298 Cite this Article

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 Copy Citation Text

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References

[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] 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] 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] 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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