An efficient crack detection method using percolation-based image processing

Tomoyuki Yamaguchi, Shingo Nakamura, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    52 Citations (Scopus)

    Abstract

    Crack detection on concrete surfaces is the most popular subject in the inspection of the concrete structures. The conventional method of crack detection is performed by experienced human inspectors by sketching the crack patterns manually. Some automated crack detection techniques utilizing image processing have been proposed. Although most of the image-based approaches pay attention to the accuracy of the crack detection results, the computation time is also important for practical use, because the size of the digital image reaches 10-mega pixels. In this paper, we introduce an efficient and high-speed method for crack detection employing percolation-based image processing. To reduce the computation time, we consult the ideas of the sequential similarity detection algorithm and active search (SSDA). According to the concept of SSDA, the percolation process is terminated by calculating the circularity midway through the processing. Moreover, percolation processing can be skipped for the next pixel depending on the circularity of neighboring pixels. The experimental result shows that the proposed approach is efficient in reducing the computation cost while preserving the accuracy of crack detection result.

    Original languageEnglish
    Title of host publication2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
    Pages1875-1880
    Number of pages6
    DOIs
    Publication statusPublished - 2008
    Event2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore
    Duration: 2008 Jun 32008 Jun 5

    Other

    Other2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
    CitySingapore
    Period08/6/308/6/5

    Fingerprint

    Crack detection
    Image processing
    Pixels
    Processing
    Concrete construction
    Inspection
    Concretes
    Cracks
    Costs

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Industrial and Manufacturing Engineering

    Cite this

    Yamaguchi, T., Nakamura, S., & Hashimoto, S. (2008). An efficient crack detection method using percolation-based image processing. In 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 (pp. 1875-1880). [4582845] https://doi.org/10.1109/ICIEA.2008.4582845

    An efficient crack detection method using percolation-based image processing. / Yamaguchi, Tomoyuki; Nakamura, Shingo; Hashimoto, Shuji.

    2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. 2008. p. 1875-1880 4582845.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Yamaguchi, T, Nakamura, S & Hashimoto, S 2008, An efficient crack detection method using percolation-based image processing. in 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008., 4582845, pp. 1875-1880, 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, Singapore, 08/6/3. https://doi.org/10.1109/ICIEA.2008.4582845
    Yamaguchi T, Nakamura S, Hashimoto S. An efficient crack detection method using percolation-based image processing. In 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. 2008. p. 1875-1880. 4582845 https://doi.org/10.1109/ICIEA.2008.4582845
    Yamaguchi, Tomoyuki ; Nakamura, Shingo ; Hashimoto, Shuji. / An efficient crack detection method using percolation-based image processing. 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. 2008. pp. 1875-1880
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