1. Andersson H (2008) Automatic classification of wood defects using support vector machines. MSc thesis, Chalmers University of Technology, Sweden
2. Chacon IM, Alonso GR (2006) Wood defects classification using a SOM/FFP approach with minimum dimension feature vector, LNCS 3973: 1105–1110 (3rd Int’l symp. on neural networks, Chengdu, China)
3. Estevez PA, Perez CA, Goles E (2003) Genetic input selection to a neural classifier for defect classification of radiata pine boards. For Prod J 53(7):87–94
4. FSS (Föoreningen Svenska Sägverksmän) (1999) Nordiskt trä: sorteringsreglar (Nordic trees: rules for sorting). Markaryds Grafiska (ISBN: 91-7322-251-8)
5. Grönlund U (1995) Quality improvements in forest products industry. Dissertation. Luleå University of Technology, Sweden