Study on wood species identification by using computed tomography

Patrick Charpentier (1) , Anatoly Chubinsky (2) , Vincent Bombardier (1) , Fleur Longuetaud (3) , Frédéric Mothe (4) , Alexander Tambi (2) , Maria Bakhshieva (2)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 FTU - St. Petersburg Forest Technical, Academy
3 INRA
4 LERFoB - Laboratoire d'Etudes des Ressources Forêt-Bois

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.

Mots clés: Computed tomography; wood scanning; log sorting

Domaines: Automatique / Robotique

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 (Actes Forêts de l'Académie technique Saint-Pétersbourg), 2013, 202, pp.158-167. ⟨hal-00833428v2⟩