Study on wood species identification by using computed tomography - Archive ouverte HAL
Article Dans Une Revue Известия Санкт-Петербургской лесотехнической академии (Journal of the Forestry academy - Saint-Petersburg) Année : 2013

Study on wood species identification by using computed tomography

Résumé

In woodprocessing industry the correct identification of forest species is important. Different wood species have dissimilar physico-mechanical charac-teristics and vary greatly in price. It makes them appropriate to special applica-tions. Tree species are usually known at felling time but the information may be loosed during the wood chain transformation. The identity of tree can be known by examining it manually, but it takes a long time to train a person to be compe-tent in wood identification, and also it can lead to classification errors because of the human factor. In addition, sorting by manual measurements does not corre-spond to current industrial speeds of logs subsequent processing. These prob-lems motivated to develop such a system to identify the species of wood without any difficulties. X-ray scanning is the most recent technology in woodworking. There are not any studies on wood species recognition with X-ray. The study was aimed to develop X-ray technology for identification of wood species to obtain one more benefit.
Fichier principal
Vignette du fichier
article.pdf (3.09 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-00833428 , version 1 (12-06-2013)
hal-00833428 , version 2 (19-07-2013)

Identifiants

  • HAL Id : hal-00833428 , version 1

Citer

Patrick Charpentier, Anatoly Chubinsky, Vincent Bombardier, Fleur Longuetaud, Frédéric Mothe, et al.. Study on wood species identification by using computed tomography. Известия Санкт-Петербургской лесотехнической академии (Journal of the Forestry academy - Saint-Petersburg), 2013, 202, pp.158-167. ⟨hal-00833428v1⟩
398 Consultations
606 Téléchargements

Partager

More