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    Generalized Image Recognition Algorithm for Sign Inventory

    Source: Journal of Computing in Civil Engineering:;2011:;Volume ( 025 ):;issue: 002
    Author:
    Zhaozheng Hu
    ,
    Yichang (James) Tsai
    DOI: 10.1061/(ASCE)CP.1943-5487.0000076
    Publisher: American Society of Civil Engineers
    Abstract: Image detection and recognition algorithms are crucial for developing an intelligent sign inventory system using video log images. The technical challenge is to detect and recognize more than 670 different types of signs specified in the
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      Generalized Image Recognition Algorithm for Sign Inventory

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    http://yetl.yabesh.ir/yetl1/handle/yetl/59044
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    contributor authorZhaozheng Hu
    contributor authorYichang (James) Tsai
    date accessioned2017-05-08T21:40:20Z
    date available2017-05-08T21:40:20Z
    date copyrightMarch 2011
    date issued2011
    identifier other%28asce%29cp%2E1943-5487%2E0000083.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59044
    description abstractImage detection and recognition algorithms are crucial for developing an intelligent sign inventory system using video log images. The technical challenge is to detect and recognize more than 670 different types of signs specified in the
    publisherAmerican Society of Civil Engineers
    titleGeneralized Image Recognition Algorithm for Sign Inventory
    typeJournal Paper
    journal volume25
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000076
    treeJournal of Computing in Civil Engineering:;2011:;Volume ( 025 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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