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Holzforschung

International Journal of the Biology, Chemistry, Physics, and Technology of Wood

Editor-in-Chief: Faix, Oskar

Editorial Board Member: Daniel, Geoffrey / Militz, Holger / Rosenau, Thomas / Salmen, Lennart / Sixta, Herbert / Vuorinen, Tapani / Argyropoulos, Dimitris S. / Balakshin, Yu / Barnett, J. R. / Burgert, Ingo / Rio, Jose C. / Evans, Robert / Evtuguin, Dmitry V. / Frazier, Charles E. / Fukushima, Kazuhiko / Gindl-Altmutter, Wolfgang / Glasser, W. G. / Holmbom, Bjarne / Isogai, Akira / Kadla, John F. / Koch, Gerald / Lachenal, Dominique / Laine, Christiane / Mansfield, Shawn D. / Morrell, J.J. / Niemz, Peter / Potthast, Antje / Ragauskas, Arthur J. / Ralph, John / Rice, Robert W. / Salin, Jarl-Gunnar / Schmitt, Uwe / Schultz, Tor P. / Sipilä, Jussi / Takano, Toshiyuki / Tamminen, Tarja / Theliander, Hans / Welling, Johannes / Willför, Stefan / Yoshihara, Hiroshi

12 Issues per year


IMPACT FACTOR 2016: 1.868
5-year IMPACT FACTOR: 1.875

CiteScore 2016: 1.83

SCImago Journal Rank (SJR) 2015: 0.817
Source Normalized Impact per Paper (SNIP) 2015: 0.954

Online
ISSN
1437-434X
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Volume 63, Issue 5 (Sep 2009)

Issues

Reconstruction of 3D images of internal log characteristics by means of successive 2D log computed tomography images

Qiang Wei
  • Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Shu Yin Zhang / Ying Hei Chui
  • Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Brigitte Leblon
  • Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2009-06-03 | DOI: https://doi.org/10.1515/HF.2009.089

Abstract

Although three-dimensional (3D) internal log images are useful to wood scientists for assessing internal log features, little work has been carried out on this subject. The aim of this paper was to demonstrate how two-dimensional (2D) log images may be combined to create 3D images of internal log features. The selected log features include heartwood, sapwood, bark, and knots in a sugar maple log and a black spruce log. The 2D cross-sectional images of the logs were acquired through computed tomography (CT) scanning. For each log, 72 successive 2D cross-sectional CT images of the log were employed to create the corresponding 3D internal log images based on the marching cubes algorithm. The results suggest that the proposed method can produce clear 3D images for each selected internal log features in sugar maple and black spruce. The accuracy analysis of the 3D reconstruction is still a huge challenge and should be fully investigated in future work.

Keywords: black spruce; computed tomography (CT) images; log characteristics; sugar maple; three-dimensional (3D) reconstruction

About the article

Corresponding author. Faculty of Forestry and Environmental Management, P.O. Box 44555, 28 Dineen Drive, University of New Brunswick, Fredericton, New Brunswick E3B 6C2, Canada Phone: +1-506-458-7613


Received: 2008-06-21

Accepted: 2009-03-27

Published Online: 2009-06-03

Published Online: 2009-06-03

Published in Print: 2009-09-01


Citation Information: Holzforschung, ISSN (Online) 1437-434X, ISSN (Print) 0018-3830, DOI: https://doi.org/10.1515/HF.2009.089.

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