Due to the diversity and uncertainty of highway pavement cracks and the unavoidable noise interference, the collected highway pavement images contain a lot of information about pavement lines, pedestrians and trees, which further makes it more difficult to detect and identify highway pavement cracks, resulting in problems such as low accuracy of crack measurement and low work efficiency. Based on this, this paper is devoted to the study of highway pavement crack detection technology to analyze the phenomenon of highway pavement damage. In order to achieve this goal, this paper proposes a fast detection and crack identification algorithm for highway pavement based on feature space, in order to provide a new method for highway pavement crack detection.


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    Titel :

    Research on Fast Detection and Crack Identification Algorithm of Highway Pavement Based on Feature Space


    Beteiligte:
    Chen, Yuhang (Autor:in)


    Erscheinungsdatum :

    2023-04-01


    Format / Umfang :

    1106324 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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