Automatic Classification of Wood Defects Using Support Vector Machines-Reference-Cited by-同舟云学术

Automatic Classification of Wood Defects Using Support Vector Machines

Published:2009 Issue: Volume: Page:356-367
ISSN:0302-9743
Container-title:Computer Vision and Graphics
language:
Short-container-title:

Author:

Gu Irene Y. H.,Andersson Henrik,Vicen Raúl

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-02345-3_35

Reference14 articles.

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2. Huber, H.A., McMillin, C.W., McKinney, J.P.: Lumber defect detection abilities of furniture rough mill employees. Forest Products Journal 35, 79–82 (1985)

3. Estevez, P.A., Perez, C.A., Goles, E.: Genetic input selection to a neural classifier for defect classification of radiata pine boards. Forest products journal 53(7), 87–94 (2003)

4. Silvén, O., Niskanen, M., Kauppinen, H.: Wood inspection with non-supervised clustering. Machine Vision and Applications 13(5-6), 275–285 (2003)

5. Silvén, O., Kauppinen, H.: Recent Development in Wood Inspection. Internation Journal of Pattern Recognition and Artificial Intelligence 19(1), 83–95 (1996)

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