Discriminant Analyzing System for Wood Wastes Using a Visible—Near-Infrared Chemometric Imaging Technique

Abstract

A new optical system was developed and applied to automated separation of wood wastes, using a combined technique of visible–near-infrared (Vis-NIR) imaging analysis and chemometrics. Three kinds of typical wood wastes were used, i.e., non-treated, impregnated, and plastic-film overlaid wood. The classification model based on soft independent modeling of class analogy (SIMCA) was examined using the difference luminance brightness of a sample. Our newly developed system showed a good/promising performance in separation of wood wastes, with an average rate of correct separation of 89%. Hence, it is concluded that the system is efficiently feasible for online monitoring and separation of wood wastes in recycling mills.

Keywords

Wood waste Separation Visible–near-infrared chemometric imaging Chemometric imaging Near-infrared spectroscopy NIR spectroscopy Soft independent modeling of class analogy SIMCA

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References

Ministry of Land, White Paper on Land, Infrastructure and Transport in Japan, 63 (2005).

Tsuchikawa

Yamato

and Inoue

, J. Wood Sci. 49, 275 (2003).

Tsuchikawa

Inoue

Noma

and Hayashi

, J. Wood Sci. 49, 29 (2003).

Tsuchikawa

and Yamato

, J. Near Infrared Spectrosc. 11, 391 (2003).

Roger

Thomas

and Karl

, J. Near Infrared Spectrosc. 6, A171 (1998).

Roger

Thomas

Ludger

and Karl

, J. Near Infrared Spectrosc. 3, 3 (1995).

Antti

Sjostrom

and Wallbacks

, J. Chemom. 10, 591 (1996).

Tatzer

Wolf

and Panner

, Real-Time Imaging 11, 99 (2005).

Tsuchikawa

Yonenobu

and Siesler

H. W

, Analyst (Cambridge, U.K.) 130, 379 (2005).