Accurate extraction and measurement of fine cracks from concrete block surface image

Atsushi Ito, Yoshimitsu Aoki, Shuji Hashimoto

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

    74 Citations (Scopus)

    Abstract

    Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.

    Original languageEnglish
    Title of host publicationIECON Proceedings (Industrial Electronics Conference)
    Pages2202-2207
    Number of pages6
    Volume3
    DOIs
    Publication statusPublished - 2002
    EventProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla
    Duration: 2002 Nov 52002 Nov 8

    Other

    OtherProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society
    CitySevilla
    Period02/11/502/11/8

    Fingerprint

    Concrete blocks
    Cracks
    Inspection
    Reinforced concrete
    Feature extraction
    Image processing
    Pixels
    Cameras
    Fatigue of materials
    Engineers
    Chemical analysis

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    Ito, A., Aoki, Y., & Hashimoto, S. (2002). Accurate extraction and measurement of fine cracks from concrete block surface image. In IECON Proceedings (Industrial Electronics Conference) (Vol. 3, pp. 2202-2207) https://doi.org/10.1109/IECON.2002.1185314

    Accurate extraction and measurement of fine cracks from concrete block surface image. / Ito, Atsushi; Aoki, Yoshimitsu; Hashimoto, Shuji.

    IECON Proceedings (Industrial Electronics Conference). Vol. 3 2002. p. 2202-2207.

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

    Ito, A, Aoki, Y & Hashimoto, S 2002, Accurate extraction and measurement of fine cracks from concrete block surface image. in IECON Proceedings (Industrial Electronics Conference). vol. 3, pp. 2202-2207, Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society, Sevilla, 02/11/5. https://doi.org/10.1109/IECON.2002.1185314
    Ito A, Aoki Y, Hashimoto S. Accurate extraction and measurement of fine cracks from concrete block surface image. In IECON Proceedings (Industrial Electronics Conference). Vol. 3. 2002. p. 2202-2207 https://doi.org/10.1109/IECON.2002.1185314
    Ito, Atsushi ; Aoki, Yoshimitsu ; Hashimoto, Shuji. / Accurate extraction and measurement of fine cracks from concrete block surface image. IECON Proceedings (Industrial Electronics Conference). Vol. 3 2002. pp. 2202-2207
    @inproceedings{5f85782a541f4fbe938f9af8b4bc162e,
    title = "Accurate extraction and measurement of fine cracks from concrete block surface image",
    abstract = "Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.",
    author = "Atsushi Ito and Yoshimitsu Aoki and Shuji Hashimoto",
    year = "2002",
    doi = "10.1109/IECON.2002.1185314",
    language = "English",
    volume = "3",
    pages = "2202--2207",
    booktitle = "IECON Proceedings (Industrial Electronics Conference)",

    }

    TY - GEN

    T1 - Accurate extraction and measurement of fine cracks from concrete block surface image

    AU - Ito, Atsushi

    AU - Aoki, Yoshimitsu

    AU - Hashimoto, Shuji

    PY - 2002

    Y1 - 2002

    N2 - Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.

    AB - Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.

    UR - http://www.scopus.com/inward/record.url?scp=0036948924&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=0036948924&partnerID=8YFLogxK

    U2 - 10.1109/IECON.2002.1185314

    DO - 10.1109/IECON.2002.1185314

    M3 - Conference contribution

    AN - SCOPUS:0036948924

    VL - 3

    SP - 2202

    EP - 2207

    BT - IECON Proceedings (Industrial Electronics Conference)

    ER -