Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 62,
  • Issue 8,
  • pp. 854-859
  • (2008)

Discriminant Analyzing System for Wood Wastes Using A Visible–Near-Infrared Chemometric Imaging Technique

Not Accessible

Your library or personal account may give you access

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.

PDF Article
More Like This
Optical system for tablet variety discrimination using visible/near-infrared spectroscopy

Yongni Shao, Yong He, and Xingyue Hu
Appl. Opt. 46(34) 8379-8384 (2007)

Spectral characterization and discrimination of synthetic fibers with near-infrared hyperspectral imaging system

Xiaoke Jin, Hafeezullah Memon, Wei Tian, Qinli Yin, Xiaofang Zhan, and Chengyan Zhu
Appl. Opt. 56(12) 3570-3576 (2017)

Analyzing the spectral dimensionality of outdoor visible and near-infrared illumination functions

David Slater and Glenn Healey
J. Opt. Soc. Am. A 15(11) 2913-2920 (1998)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved