The potential of Computer Vision techniques to support estimation of bedload transport in sewers is investigated. A specific methodology combining the use of algorithms for sediment detection and tracking with advanced image filtering procedures was setup in order to identify the sediment particles contributing to the bedload transport. The methodology was preliminary applied to a large combined sewer channel of Paris City for which videos capturing sediment transport processes during a flush experiment are available
Testing Computer Vision techniques for bedload sediment transport evaluation in sewers
GIUDICE, OLIVER;Aurora Gullotta;Sebastiano Battiato;Carlo Modica;Alberto Campisano
2017-01-01
Abstract
The potential of Computer Vision techniques to support estimation of bedload transport in sewers is investigated. A specific methodology combining the use of algorithms for sediment detection and tracking with advanced image filtering procedures was setup in order to identify the sediment particles contributing to the bedload transport. The methodology was preliminary applied to a large combined sewer channel of Paris City for which videos capturing sediment transport processes during a flush experiment are availableFile in questo prodotto:
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