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Optimization potential for perception-oriented appearance classification by simulated sawing of computed tomography-scanned logs of Norway spruce
Forest Research Institute of Baden-Württemberg, 79100 Freiburg.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
Forest Research Institute of Baden-Württemberg, 79100 Freiburg.
Institute of Forest Sciences, University of Freiburg.
2015 (English)In: Wood Material Science & Engineering, ISSN 1748-0272, E-ISSN 1748-0280, Vol. 10, no 4, 319-334 p.Article in journal (Refereed) Published
Abstract [en]

Wood, as a natural material, has favourable properties in both technical and aesthetic aspects. Due to its inherent variability,production of high-quality sawn timber demands adequate control of log conversion, which is feasible with computedtomography (CT) log scanning. Existing appearance grading rules for sawn timber might not fully reflect people’s visualperception of wood surfaces, and therefore, an alternative, more perception-oriented appearance classification could bebeneficial. An appearance classification of sawn timber based on partial least squares discriminant analysis (PLS-DA) ofknot-pattern variables was developed and tested. Knot-pattern variables derived from images of board faces were used intraining PLS-DA models against an initial classification of the board faces previously established by aid of cluster analysis.Virtual board faces obtained from simulated breakdown of 57 CT-scanned Norway spruce logs were graded according tothe developed classification. Visual assessment of the grading results indicated that the classification was largely consistentwith human perception of board appearance. An initial estimation of the potential to optimize log rotation, based on CTdata, for the established appearance grades was derived from the simulations. Considerable potential to increase the yield ofa desired appearance grade, compared to conventional log positioning, was observed.

Place, publisher, year, edition, pages
2015. Vol. 10, no 4, 319-334 p.
Keyword [en]
Forestry, agricultural sciences and landscape planning - Wood fibre and forest products
Keyword [sv]
Log scanning, knots, sawing simulation, grading, partial least squares discriminant analysis, Skogs- och jordbruksvetenskap samt landskapsplanering - Träfiber- och virkeslära
National Category
Other Mechanical Engineering
Research subject
Wood Science and Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-12074DOI: 10.1080/17480272.2014.977944Local ID: b2099aed-7bad-4526-ac97-ab42c49eca15OAI: oai:DiVA.org:ltu-12074DiVA: diva2:985024
Note

Validerad; 2015; Nivå 1; 20141111 (olof)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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