An efficient crack detection method using percolation-based image processing

Tomoyuki Yamaguchi, Shingo Nakamura, Shuji Hashimoto

    研究成果: Conference contribution

    65 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトル2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
    ページ1875-1880
    ページ数6
    DOI
    出版ステータスPublished - 2008
    イベント2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore
    継続期間: 2008 6 32008 6 5

    Other

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

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • 産業および生産工学

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