Potentially increased sawmill yield from hardwoods using X-ray computed tomography for knot detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ecology,Forestry
Link
http://link.springer.com/content/pdf/10.1007/s13595-014-0385-1.pdf
Reference27 articles.
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3. Bhandarkar SM, Luo X, Daniels R, Tollner EW (2006) A novel feature-based tracking approach to the detection, localization, and 3-D reconstruction of internal defects in hardwood logs using computer tomography. Pattern Anal Appl 9:155–175. doi: 10.1007/s10044-006-0035-9
4. Boukadida H, Longuetaud F, Colin F, Freyburger C, Constant T, Leban JM, Mothe F (2012) PithExtract: a robust algorithm for pith detection in computer tomography images of wood—application to 125 logs from 17 tree species. Comput Electron Agric 85:90–98. doi: 10.1016/j.compag.2012.03.012
5. Chang SJ, Gazo R (2009) Measuring the effect of internal log defect scanning on the value of lumber produced. For Prod J 59:56–59
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