Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1215005(2022)

Crack Detection Algorithm Based on Improved Multibranch Feature Shared Structure Network

Gang Li1, Yongqiang Chen1、*, Tingquan He2, Yu Dai1, and Dongchao Lan1
Author Affiliations
  • 1School of Electronics and Control Engineering, Chang’an University, Xi’an 710064, Shaanxi , China
  • 2Information Department, Guangxi New Development Transportation Group Co., Ltd., Nanning 530029, Guangxi , China
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    References(23)

    [2] Xu Z G, Zhao X M, Song H S et al. Asphalt pavement crack recognition algorithm based on histogram estimation and shape analysis[J]. Chinese Journal of Scientific Instrument, 31, 2260-2266(2010).

    [5] Wang D F, Zeng W M, Wang N C. Road crack detection under uneven illumination using improved K-means algorithm[J]. Computer Applications and Software, 32, 244-247, 300(2015).

    [6] Lu X P, Zhang H, Zhang D M et al. An iterative binary road crack detection method based on UAV image[J]. Journal of Henan Polytechnic University (Natural Science), 38, 55-59(2019).

    [10] Zhu S Y, Du J C, Li Y S et al. Method for bridge crack detection based on the U-Net convolutional networks[J]. Journal of Xidian University, 46, 35-42(2019).

    [12] Zhang S K, Wu Q X, Lin Z Y. Detection and segmentation of structured light stripe in weld image[J]. Acta Optica Sinica, 41, 0515002(2021).

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    Gang Li, Yongqiang Chen, Tingquan He, Yu Dai, Dongchao Lan. Crack Detection Algorithm Based on Improved Multibranch Feature Shared Structure Network[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1215005

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    Paper Information

    Category: Machine Vision

    Received: May. 17, 2021

    Accepted: Jun. 11, 2021

    Published Online: May. 23, 2022

    The Author Email: Yongqiang Chen (2019132048@chd.edu.cn)

    DOI:10.3788/LOP202259.1215005

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