Measuring moisture content on green poplar veneer using camera and light diffusion in wood cells

Abstract

This study proposes an original methodology for the online measurement of local moisture content (MC) in poplar veneer, combining colour imaging and laser scattering techniques. A database of poplar samples was built, including colour images and a grid of scattering patterns caused by the tracheid eect, acquired in both reection and transmission modes. The analysis shows that colour becomes a discriminant parameter as MC increases. However, colour information alone proved insucient for accurate MC prediction. The model shows limited performance at low moisture contents, with a coecient of determination R² of 0.857 and an absolute error exceeding 100%. In contrast, laser scattering yielded superior results, particularly when using the ellipse area and minor axis as predictors leading to an increase in the coecient of determination above 0.9 and a reduction in absolute error, particularly for sapwood. Both approaches were signicantly inuenced by the wood zone within the log, i.e. whether the veneer originates from sapwood or heartwood. A classication method was therefore developed to discriminate between these two zones. Finally, local MC maps were estimated on samples from two poplar clones (I214 and Dorskamp) using dedicated analytical models. The results are particularly encouraging for green wood.

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BibTeX RIS

BibTeX

@article{kachouh2026measuring,
  title = {{Measuring moisture content on green poplar veneer using camera and light diffusion in wood cells}},
  author = {Cyril Kachouh and Joffrey Viguier and Stephane Girardon and Louis Cyril Denaud},
  journal = {Wood Science and Technology},
  year = {2026},
  month = sep,
  doi = {10.1007/s00226-026-01796-1},
  url = {https://hal.science/hal-05778842v1},
  note = {CC BY 4.0},
}

RIS

TY  - JOUR
TI  - Measuring moisture content on green poplar veneer using camera and light diffusion in wood cells
AU  - Cyril Kachouh
AU  - Joffrey Viguier
AU  - Stephane Girardon
AU  - Louis Cyril Denaud
PY  - 2026
DA  - 2026/09/01
JO  - Wood Science and Technology
DO  - 10.1007/s00226-026-01796-1
UR  - https://hal.science/hal-05778842v1
AB  - This study proposes an original methodology for the online measurement of local moisture content (MC) in poplar veneer, combining colour imaging and laser scattering techniques. A database of poplar samples was built, including colour images and a grid of scattering patterns caused by the tracheid eect, acquired in both reection and transmission modes. The analysis shows that colour becomes a discriminant parameter as MC increases. However, colour information alone proved insucient for accurate MC prediction. The model shows limited performance at low moisture contents, with a coecient of determination R² of 0.857 and an absolute error exceeding 100%. In contrast, laser scattering yielded superior results, particularly when using the ellipse area and minor axis as predictors leading to an increase in the coecient of determination above 0.9 and a reduction in absolute error, particularly for sapwood. Both approaches were signicantly inuenced by the wood zone within the log, i.e. whether the veneer originates from sapwood or heartwood. A classication method was therefore developed to discriminate between these two zones. Finally, local MC maps were estimated on samples from two poplar clones (I214 and Dorskamp) using dedicated analytical models. The results are particularly encouraging for green wood.
SN  - 0043-7719
SN  - 1432-5225
ER  -

Abstract

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