Acta Optica Sinica, Volume. 37, Issue 8, 0810004(2017)

Pavement Crack Recognition Based on Aerial Image

Bo Wang1, Xia Wang1、*, Fei Chen1, Yuntao He2, Wenguang Li2, and Li Liu2
Author Affiliations
  • 1 Key Laboratory of Optoelectronic Imaging Technology and System, Ministry of Education, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
  • 2 School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
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    References(11)

    [1] Panin S V, Chemezov V O, Lyubutin P S et al. The algorithm of crack and crack tip coordinates detection in optical images during fatigue test[C]. IOP Conference Series: Materials Science and Engineering, 177, 012019(2017).

    [4] Lu G F, Zhao Q C, Liao J G et al. Pavement crack identification based on automatic threshold iterative method[C]. SPIE, 10322, 103221F(2016).

    [9] Gochoo M, Bayanduuren D, Khuchit U et al. Design and application of novel morphological filter used in vehicle detection[C]. IEEE/ACIS International Conference on Computer & Information Science, 16251790, 1-5(2016).

    [10] Mou Li, Zhang Xuewu, Zhang Zhuo et al. Saliency detection optimization method in natural scene[J]. Laser & Optoelectronics Progress, 53, 121501(2016).

    CLP Journals

    [1] Huixian Li, Bin Zhang, Dan Liu, Tengda Yang, Wenhao Song, Fengyu Li. Surface Crack Detection Algorithm Based on Double Threshold and Tensor Voting[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051010

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    Bo Wang, Xia Wang, Fei Chen, Yuntao He, Wenguang Li, Li Liu. Pavement Crack Recognition Based on Aerial Image[J]. Acta Optica Sinica, 2017, 37(8): 0810004

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    Paper Information

    Category: Image Processing

    Received: Mar. 24, 2017

    Accepted: --

    Published Online: Sep. 7, 2018

    The Author Email: Wang Xia (angelniuniu@bit.edu.cn)

    DOI:10.3788/AOS201737.0810004

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