Sökning: "Asif Ur Rahman Shaik"
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1. Real time video segmentation for recognising paint marks on bad wooden railway sleepers
Master-uppsats, Högskolan Dalarna/DatateknikSammanfattning : 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
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