Fine-Tuning a Deconvolution Algorithm to Restore Displacement and Strain Maps Obtained with LSA
Résumé
Background: Reliably measuring sharp details in displacement and strain maps returned by full-field measurement techniques remains an open question in the photomechanics community. Objective: The primary objective of this study is to improve and finetune a deconvolution algorithm in order to limit the blur that obscures the details in displacement and strain maps. Fine-tuning a deconvolution algorithm pattern in the images is also examined. The efficiency of the deconvolution algorithm employed with optimized settings is illustrated with strain maps obtained on two specimens, one in shape memory alloy, and the other in wood. Conclusions: It is shown in this study that deconvolution with optimized settings is an effective tool to enhance small and sharp details in strain maps obtained with LSA.
Domaines
Sciences de l'ingénieur [physics]| Origine | Fichiers éditeurs autorisés sur une archive ouverte |
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