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3D tree-ring analysis using helical X-ray tomography
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
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2014 (English)In: Dendrochronologia, ISSN 1125-7865, E-ISSN 1612-0051, Vol. 32, no 1, 39-46 p.Article in journal (Refereed) Published
Abstract [en]

The current state-of-the-art of tree-ring analysis and densitometry is still mainly limited to two dimensions and mostly requires proper treatment of the surface of the samples. In this paper we elaborate on the potential of helical X-ray computed tomography for 3D tree-ring analysis. Microdensitometrical profiles are obtained by processing of the reconstructed volumes. Correction of the structure direction, taking into account the angle of growth rings and grain, results in very accurate microdensity and precise ring width measurements. Both a manual as well as an automated methodology is proposed here, of which the MATLAB (c) code is available. Examples are given for pine (Pinus sylvestris L), oak (Quercus robur L) and teak (Tectona grandis L.). In all, the methodologies applied here on the 3D volumes are useful for growth related studies, enabling a fast and non-destructive analysis.

Place, publisher, year, edition, pages
2014. Vol. 32, no 1, 39-46 p.
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Wood Science Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-211861DOI: 10.1016/j.dendro.2013.07.001ISI: 000335111100005OAI: oai:DiVA.org:uu-211861DiVA: diva2:669000
Available from: 2013-11-16 Created: 2013-12-02 Last updated: 2017-12-06Bibliographically approved

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Wernersson, Erik L. G.Brun, AndersLuengo Hendriks, Cris L.

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Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer Interaction
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Dendrochronologia
Wood ScienceComputer Vision and Robotics (Autonomous Systems)

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