Wood defect classification based on image analysis and support vector machines

Author:

Gu Irene Yu-Hua,Andersson Henrik,Vicen Raul

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Plant Science,General Materials Science,Forestry

Reference14 articles.

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

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