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    Visual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems

    Source: Journal of Computing in Civil Engineering:;2009:;Volume ( 023 ):;issue: 003
    Author:
    W. Guo
    ,
    L. Soibelman
    ,
    J. H. Garrett Jr.
    DOI: 10.1061/(ASCE)0887-3801(2009)23:3(160)
    Publisher: American Society of Civil Engineers
    Abstract: Computational approaches to visual data and information processing can assist asset management procedures. In this paper, we present a computerized visual pattern recognition approach to facilitate inspection and condition assessment of wastewater collection systems in realistic settings. This research aims to provide a basis for condition assessment and defect reporting in wastewater infrastructure, enabling automatic detection and recognition of defects and patterns from inspection images or videos. An approach for sensing and automatically detecting critical areas or regions of interest, and further discovering and recognizing objects of interest in large image data sets, is described. The major steps of the approach are illustrated by examples using actual inspection images acquired from wastewater pipelines.
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      Visual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/43414
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    contributor authorW. Guo
    contributor authorL. Soibelman
    contributor authorJ. H. Garrett Jr.
    date accessioned2017-05-08T21:13:32Z
    date available2017-05-08T21:13:32Z
    date copyrightMay 2009
    date issued2009
    identifier other%28asce%290887-3801%282009%2923%3A3%28160%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43414
    description abstractComputational approaches to visual data and information processing can assist asset management procedures. In this paper, we present a computerized visual pattern recognition approach to facilitate inspection and condition assessment of wastewater collection systems in realistic settings. This research aims to provide a basis for condition assessment and defect reporting in wastewater infrastructure, enabling automatic detection and recognition of defects and patterns from inspection images or videos. An approach for sensing and automatically detecting critical areas or regions of interest, and further discovering and recognizing objects of interest in large image data sets, is described. The major steps of the approach are illustrated by examples using actual inspection images acquired from wastewater pipelines.
    publisherAmerican Society of Civil Engineers
    titleVisual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems
    typeJournal Paper
    journal volume23
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)0887-3801(2009)23:3(160)
    treeJournal of Computing in Civil Engineering:;2009:;Volume ( 023 ):;issue: 003
    contenttypeFulltext
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