NDLI: Classification of wood surfaces according to visual appearance by multivariate analysis of wood feature data

Content Provider	Springer Nature Link
Author	Breinig, Lorenz Leonhart, Rainer Broman, Olof Manuel, Andreas Brüchert, Franka Becker, Gero
Copyright Year	2014
Abstract	Its natural aesthetics make wood an attractive material for construction and design. However, there is no detailed understanding of the relationships between human perception of the appearance and measurable features of wood surfaces that could be used for controlling sawn timber production. This study investigated whether wood surfaces can be classified according to their visual appearance on the basis of wood feature measurements. Cluster analysis was used to discover a classification based on a set of feature pattern variables in a sample of 300 softwood floorboards. A finely graded visual appearance sorting provided a reference. Discriminant analysis was applied to identify the relevant variables from the tested set and to assess predictability of the classification. The results indicated that visual appearance sorting could be approximated quite well by the variable-based classification after pregrouping according to board position in the log. Ambivalent results were obtained for group prediction within the validation sample. While for boards from some groups prediction was mostly or entirely correct, boards from other groups were largely misclassified. An effect of the available sample was one of the surmised causes, making repetition of the analysis based on a larger sample a desirable focus of further research.
Starting Page	89
Ending Page	112
Page Count	24
File Format	PDF
ISSN	14350211
Journal	Journal of Wood Science
Volume Number	61
Issue Number	2
e-ISSN	16114663
Language	English
Publisher	Springer Japan
Publisher Date	2014-12-05
Publisher Place	Tokyo
Access Restriction	Subscribed
Subject Keyword	Wood appearance Wood feature measurement Sawn timber sorting Multivariate classification Wood Science & Technology Materials Science Characterization and Evaluation of Materials
Content Type	Text
Resource Type	Article
Subject	Biomaterials Forestry

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