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Theses

Système de traitement d’images temps réel dédié à la mesure de champs denses de déplacements et de déformations.

Abstract : This PhD thesis has been carried out in a multidisciplinary context. It deals with the challenge of real-time and metrological performance in digital image processing. This is particularly interesting in photomechanics. This is a recent field of activity, which consists in developing and using systems for measuring whole fields of small displacements and small deformations of solids subjected to thermomechanical loading. The technique targeted in this PhD thesis is Digital Images Correlation (DIC), which is the most popular measuring technique in this community. However, it has some limitations, the main one being the computing resources and the metrological performance, which should be improved to reach that of classic pointwise measuring sensors such as strain gauges.In order to address this challenge, this work relies on two main studies. The first one consists in optimizing the interpolation process because this is the most expensive treatment in DIC. Acceleration is proposed by using a parallel hardware implementation on FPGA, and by taking into consideration the consumption of hardware resources as well as accuracy. The main conclusion of this study is that a single FPGA (current technology) is not sufficient to implement the entire DIC algorithm. Thus, a second study has been proposed. It is based on the use of convolutional neural networks (CNNs) in an attempt to achieve both better metrological performance than CIN and real-time processing. This second study shows the relevance of using CNNs for measuring displacement and deformation fields. It opens new perspectives in terms of metrological performance and speed of full-field measuring systems.
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Submitted on : Thursday, March 25, 2021 - 9:54:10 AM
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  • HAL Id : tel-03180484, version 1

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Seyfeddine Boukhtache. Système de traitement d’images temps réel dédié à la mesure de champs denses de déplacements et de déformations.. Traitement des images [eess.IV]. Université Clermont Auvergne, 2020. Français. ⟨NNT : 2020CLFAC054⟩. ⟨tel-03180484⟩

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