Sökning: "Asif Ur Rahman Shaik"

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  1. 1. Real time video segmentation for recognising paint marks on bad wooden railway sleepers

    Master-uppsats, Högskolan Dalarna/Datateknik

    Författare :Asif ur Rahman Shaik; [2008]
    Nyckelord :Condition Monitoring; Intelligent Vehicle; Videos; Color Segmentation; Spots objects ; Regions;

    Sammanfattning : Wooden railway sleeper inspections in Sweden are currently performed manually by a human operator; such inspections are based on visual analysis. Machine vision based approach has been done to emulate the visual abilities of human operator to enable automation of the process. LÄS MER