TY - JOUR
DP - National Agricultural Library
DB - PubAg
JO - Holzforschung
TI - Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)
A1 - Sofianto, Imran Arra’d
A4 - Sofianto, Imran Arra’d
A4 - Inagaki, Tetsuya
A4 - Ma, Te
A4 - Tsuchikawa, Satoru
EP - 2019 v.73 no.3
KW - Cryptomeria japonica
KW - chemometrics
KW - earlywood
KW - hyperspectral imagery
KW - knots
KW - latewood
KW - models
KW - modulus of elasticity
KW - near-infrared spectroscopy
KW - prediction
KW - strength (mechanics)
KW - wood
AN - 6316877
AB - Naturally occurring knots reduce the mechanical strength of wood. Veneers from sugi (Cryptomeria japonica) served as research material to study the effect of knots and holes. Veneer samples were first subjected to a three-point bending test to obtain measured modulus of elasticity (MOE) values. Then, near-infrared (NIR) hyperspectral imaging (HSI) was used to construct a prediction model and map the predicted MOE values. This is the first attempt for MOE prediction from the entire veneer surface based on NIR-HSI technology, while the mathematical part relies on chemometrics and cross-validation partial least squares regression (CV-PLSR). Maps of MOE prediction values could distinguish between latewood (LW) and earlywood (EW), as well as between a sound knot and a dead knot.
PY - 2019
LA -
DA - 2019-03-26
VL - v. 73
IS - no. 3
SP - pp. 259-268
DO - 10.1515/hf-2018-0060
ER -