Change search
ReferencesLink to record
Permanent link

Direct link
Reconstruction of knots from simulated discrete x-ray images of Pinus Sylvestris logs
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
2012 (English)Conference paper, Presentation (Refereed)
Abstract [en]

For many years it has been of interest to be able to predict the properties of sawn wood products from tree features. X-ray technology has made it possible to measure internal as well as external features of saw logs, and to use these features for predicting log quality. However, data available for simulation of the sawing process and prediction of sawn timber quality has, until now, been limited to logs scanned using computed tomography.The objective of this study is to develop a method for reconstruction of parametrically described whorls and knots from industrial scanning of Scots pine (Pinus sylvestris L.) logs, using discrete Xray images. The method is designed using the logs in the Swedish pine stem bank (SPSB) as data basis, and is based on a few predictor features extracted from these logs, namely whorl volume, distance between whorls, and distance between pith and surface. These features are measured in simulated discrete X-ray images of the logs in the SPSB, and virtual models of the whorls and knots are created, using a feature- and knowledge based model. Virtual logs are then composed using the reconstructed knots within the original shape of the logs. Simulated test sawing of the virtual logs shows that the reconstruction method results in a representative model of the knot structure in the log, when considering the grade distribution of the sawn timber produced by the simulation program. The results of this study can for instance be used for improved online quality predictions at sawmills. One step in this direction is to use industrial X-ray data to enlarge the amount of log data available for sawing simulation research. Future work should focus on developing practical applications of the results presented here.

Place, publisher, year, edition, pages
2012.
Research subject
Wood Technology
Identifiers
URN: urn:nbn:se:ltu:diva-40236Local ID: f49155f4-9ca7-4de6-99af-a02b085d941eOAI: oai:DiVA.org:ltu-40236DiVA: diva2:1013758
Conference
IUFRO Conference : Division 5 Forest Products 08/07/2012 - 13/07/2012
Note
Godkänd; 2012; 20120925 (magfre)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Fredriksson, MagnusSkog, Johan
By organisation
Wood Science and Engineering

Search outside of DiVA

GoogleGoogle Scholar

Total: 14 hits
ReferencesLink to record
Permanent link

Direct link