Optical Technique, Volume. 49, Issue 6, 711(2023)

Research on fracture extraction algorithm based on line structured light

YU Jiahui1、*, ZHANG Boxiao1, HE Runxin1, ZHANG Lei1,2,3,4, and JIAO Xiaoxue1,2,3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(6)

    [12] [12] Peng C. Application of machine vision technology in intelligent manufacturing[C]//Journal of Physics: Conference Series. IOP Publishing,2020,1678(1):012031.

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    [16] [16] Kuldip Acharya, Dibyendu Ghoshal. Polynomial differentiation threshold based edge detection of contrast enhanced images[J]. International Journal of Image, Graphics and Signal Processing(IJIGSP),2023,15(2):35-46.

    [21] [21] Zhang B, Zhu D. Improved camera calibration method and accuracy analysis for binocular vision[J]. International Journal of Pattern Recognition and Artificial Intelligence,2021,35(09):2155010.

    [24] [24] Hu G X, Hu B L, Yang Z, et al. Pavement crack detection method based on deep learning models[J]. Wireless Communications and Mobile Computing,2021,2021:1-13.

    [25] [25] Lijun Y, Mengbo L, Tongxin W, et al. Geo-information mapping improves canny edge detection method[J]. IET Image Processing,2023,17(6):1893-1904.

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    YU Jiahui, ZHANG Boxiao, HE Runxin, ZHANG Lei, JIAO Xiaoxue. Research on fracture extraction algorithm based on line structured light[J]. Optical Technique, 2023, 49(6): 711

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    Paper Information

    Category:

    Received: Mar. 17, 2023

    Accepted: --

    Published Online: Dec. 5, 2023

    The Author Email: Jiahui YU (m13522398425@163.com)

    DOI:

    CSTR:32186.14.

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