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Traitement d'images pour la ségrégation en transport de sédiments par charriage : Morphologie et suivi d'objets

Abstract : Sediment transport in rivers and mountain streams remains poorly understood partly due to the polydispersity of particles and resulting segregation. Experiments in a channel were carried out to study bedload transport of bimodal bead mixtures. The behavior of the beads is recorded through video sequences. This work is about the development of image processing methods to analyse the obtained data. Firstly, we developed a method of image segmentation to study the infiltration of fine particles and its influence on the evolution of bed mobility. Thanks to this method, an experimental study shows that the bed slope evolution follows an exponential decay. Secondly, we optimised deterministic tracking algorithms to enable the study of trajectories on long-duration phenomena of segregation, which was not possible with previous work done at Irstea. Moreover we set up relevant evaluation measures and elaborated ground truth sequences to quantify the results. We observed benefits in execution time, consistency, precision and memory. Thirdly, we developed a new algorithm based on multiple model particle filtering to better deal with complex dynamics of particles and to gain robustness. This approach allows taking unreliable detections into account, correcting them and thus avoiding difficulties in the target tracking as encountered with the deterministic algorithm.
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Contributor : Hugo Lafaye de Micheaux Connect in order to contact the contributor
Submitted on : Tuesday, October 3, 2017 - 11:45:20 AM
Last modification on : Sunday, June 26, 2022 - 12:07:59 PM


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  • HAL Id : tel-01609142, version 1



Hugo Lafaye de Micheaux. Traitement d'images pour la ségrégation en transport de sédiments par charriage : Morphologie et suivi d'objets. Traitement des images [eess.IV]. Université de Lyon, 2017. Français. ⟨tel-01609142⟩



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