Laser & Optoelectronics Progress, Volume. 55, Issue 5, 051010(2018)

Surface Crack Detection Algorithm Based on Double Threshold and Tensor Voting

Huixian Li, Bin Zhang*, Dan Liu, Tengda Yang, Wenhao Song, and Fengyu Li
Author Affiliations
  • College of Physical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China
  • show less
    References(22)

    [1] Liang S D, Zhang A F, Wang T et al. Elimination of laser direct forming crack on DD4 parts by induction heating[J]. Chinese Journal of Lasers, 44, 0202003(2017).

    [2] Wang B, Wang X, Chen F et al. Pavement crack recognition based on aerial image[J]. Acta Optica Sinica, 37, 0810004(2017).

    [3] Chen J, Zhu Q B, Huang M et al. Recognition of empoasca flavescens based on machine vision[J]. Laser & Optoelectronics Progress, 55, 011502(2018).

    [5] Li Q Q, Liu X L. Novel approach to pavement image segmentation based on neighboring difference histogram method. [C]∥Proceedings of IEEE Computer Society, 2, 792-796(2008).

    [7] Yan M D, Bo S B, Xu K. et al. Pavement crack detection and analysis for high-grade highway. [C]∥Proceedings of International Conference on Electronic Measurement and Instruments, 548-552(2007).

    [8] Liu F F, Xu G A, Yang Y X. et al. Novel approach to pavement cracking automatic detection based on segment extending. [C]∥Proceedings of International Symposium on Knowledge Acquisition and Modeling, 610-614(2008).

    [9] Hua C J, Xiong X M, Chen Y. Feature extraction of workpiece circular arc contour based on Sobel operator[J]. Laser & Optoelectronics Progress, 55, 021011(2018).

    [10] Subirats P, Dumoulin J, Legeay V. et al. Automation of pavement surface crack detection using the continuous wavelet transform. [C]∥Proceedings of IEEE International Conference on Image Processing, 3037-3040(2007).

    [11] Medioni G, Lee M S, Tang C K. A Computational framework for segmentation and grouping[M]. Amsterdam: Halland Elsevier(2000).

    [14] Shu J F, Chen X D, Huang J J. Research and application of tensor voting on wall crack detection[J]. Journal of Geomatics, 42, 80-84(2017).

    [15] Tomasi C, Manduchi R. Bilateral filtering for gray and color images. [C]∥Proceedings of 6 th International Conference on Computer Vision , 839-846(1998).

    [16] Li J F, Yang F, Huang J. A fast implementation of improved bilateral filter based on ascending dimension[J]. Journal of Circuits and Systems, 18, 137-143(2013).

    [18] Mou L, Zhang X W, Zhang Z et al. Saliency detection optimization method in natural scene[J]. Laser & Optoelectronics Progress, 53, 121501(2016).

    [20] Xu W, Tang Z M, Lü J Y. Pavement crack detection based on image saliency[J]. Journal of Image and Graphics, 18, 69-77(2013).

    [21] Xu W, Tang Z M, Xu D et al. Integrating multi-features fusion and gestalt principles for pavement crack detection[J]. Journal of Computer-Aided Design & Computer Graphics, 27, 147-156(2015).

    [22] Zhang G Q. Study on the concrete bridge bottom crack inspection method based on image processing[D]. Beijing: Beijing Jiaotong University(2010).

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image processing

    Received: Oct. 16, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Bin Zhang (13503811569@163.com)

    DOI:10.3788/LOP55.051010

    Topics