2009
DOI: 10.1007/s10086-009-1031-7
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Quantification of knots in dimension lumber using a single-pass X-ray radiation

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Cited by 17 publications
(13 citation statements)
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“…With its help, it is possible to estimate the knots depth ratio (KDR), which represents the local knot thickness divided by the board's one (Oh et al 2009). A first image processing step is used to separate knotty areas to clear wood ones, and the average clear wood density (ρ CW ) can consequently be determined.…”
Section: Samples Description and Destructive Testsmentioning
confidence: 99%
See 1 more Smart Citation
“…With its help, it is possible to estimate the knots depth ratio (KDR), which represents the local knot thickness divided by the board's one (Oh et al 2009). A first image processing step is used to separate knotty areas to clear wood ones, and the average clear wood density (ρ CW ) can consequently be determined.…”
Section: Samples Description and Destructive Testsmentioning
confidence: 99%
“…A first image processing step is used to separate knotty areas to clear wood ones, and the average clear wood density (ρ CW ) can consequently be determined. For each board, it was assumed that knots density (ρ KN ) is constant and proportional to ρ CW (Oh et al 2009). Finally, the local KDR value is defined by the Equation 4, and will be later used in our strength grading model.…”
Section: Samples Description and Destructive Testsmentioning
confidence: 99%
“…However, wood presents significant variability in terms of its mechanical properties, mainly due to factors such as wood species, tree growth rate, density, local singularities (knots, cracks, slope of grain), etc. Machines can be used to perform the mechanical grading of wood, in accordance with the relevant European standards [2][3][4][5].Wood grading machines are based on various principles, such as density measurement, vibrational measurement of the MOE [6][7][8] or singularity detection using optical means, X-rays, or scattering measurement techniques [9][10][11]. To predict bending strength, most of these grading techniques are extremely dependent on the correlation between the MOR and the density or the MOE, and thus only partially take into account local singularities.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, clear heartwood resulted a 30% heavier than clear sapwood; and differences between wood with defects were even higher (45%). In addition to heartwood formation, the observed higher presence of defects in heartwood, knots particularly, may also contribute to explain such differences (Oh et al, 2009); including a higher presence of compression wood that is formed around knots (e.g. Bengtsson, 2000).…”
Section: Resultsmentioning
confidence: 99%