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    Machine vision-based concrete beam crack pattern identification using fractal theory

    New search for: Dai, Kaoshan
    New search for: Li, Desheng
    New search for: Luo, Mingyan
    New search for: Shi, Yuanfeng
    New search for: Zhang, Songhan
    New search for: Huang, Zhenhua

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    Machine vision-based concrete beam crack pattern identification using fractal theory

    New search for: Dai, Kaoshan
    New search for: Li, Desheng
    New search for: Luo, Mingyan
    New search for: Shi, Yuanfeng
    New search for: Zhang, Songhan
    New search for: Huang, Zhenhua

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Machine vision-based concrete beam crack pattern identification using fractal theory

    New search for: Dai, Kaoshan
    New search for: Li, Desheng
    New search for: Luo, Mingyan
    New search for: Shi, Yuanfeng
    New search for: Zhang, Songhan
    New search for: Huang, Zhenhua

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Machine vision-based concrete beam crack pattern identification using fractal theory

    Contributors:

    Dai, Kaoshan (author) / Li, Desheng (author) / Luo, Mingyan (author) / Shi, Yuanfeng (author) / Zhang, Songhan (author) / Huang, Zhenhua (author)

    Conference:

    Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII

    Published in:

    Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII ; 109710W-109710W-6

    Proceedings of SPIE, the International Society for Optical Engineering ; 10971

    Publication date:

    2019-01-01

    Size:

    109710W-109710W-6

    ISBN:

    9781510625976

    ISSN:

    0277-786X

    Type of media:

    Conference paper

    Type of material:

    Print

    Language:

    English

    © Metadata Copyright the British Library Board and other contributors. All rights reserved.

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