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Auteur Eric Debieu
Commentaire :
Laboratory of Mechanics and Acoustics, UPR CNRS 7051, 13402 Marseille Cedex 20, France (en 2008).
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Ultrasonic tomography of green wood using a non-parametric imaging algorithm with reflected waves / Loïc Brancheriau in Annals of Forest Science, Vol 65 n° 7 (October - November 2008)
[article]
Titre : Ultrasonic tomography of green wood using a non-parametric imaging algorithm with reflected waves Titre original : Tomographie ultrasonore de bois vert par reconstruction d'image non paramétrique en réflexion Type de document : Article/Communication Auteurs : Loïc Brancheriau, Auteur ; Philippe Lasaygues, Auteur ; Eric Debieu, Auteur ; Jean Pierre Lefebvre, Auteur Année de publication : 2008 Article en page(s) : n° 712 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] approximation
[Termes IGN] Picea abies
[Termes IGN] tomographie
[Termes IGN] ultrasonRésumé : (auteur) Ultrasonic computed tomography in reflection was used to assess the integrity of green wood. Qualitative reflectivity images were obtained from back-scattered measurements by reflection tomography, like ultrasound in medical applications. The reconstruction algorithm was designed using, in particular, a linear approximation of the forward problem (Born approximation) and based on the assumption that a transversal cross section of wood is isotropic. The experimental device was composed of only one rotating emitter–receiver transducer to record and compute the projections. In this specific case, a tomographic projection was directly associated with a recorded signal. The qualitative aspect of this imaging technique was validated by performing a numerical simulation and tested on a small diameter green wood (Picea abies) log. The images obtained were geometrically accurate considering the internal inclusions. It was, however, not possible in the simulation to differentiate the object shape from the background (coupling medium) because the reflectivity value associated with the object was too low. The image obtained with the spruce sample mainly showed the position of the bark as indicated by a very high contrast area. The proportion of transmitted energy was, however, sufficient to reconstruct the artificial inclusion within the sample. Numéro de notice : A2008-693 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1051/forest:200851 Date de publication en ligne : 20/09/2008 En ligne : https://doi.org/10.1051/forest:200851 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=71444
in Annals of Forest Science > Vol 65 n° 7 (October - November 2008) . - n° 712[article]Exemplaires(1)
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