Identification of plastics among nonplastics in mixed waste by remote sensing near-infrared imaging spectroscopy. I: Image improvement and analysis by singular value decomposition

A near-IR camera has been installed in an experimental setup for real-time plastic identification. Singular value decomposition (SVD) has been used for qualitative analysis and substantial improvement of the measured multivariate images. The obtained score plots provided spatial correlations between...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 1995-10, Vol.67 (20), p.3753-3759
Main Authors: VAN DEN BROEK, W. H. A. M, WIENKE, D, MELSSEN, W. J, DE CROM, C. W. A, BUYDENS, L
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Other wastes and particular components of wastes
Pollution
Polymer industry, paints, wood
Technology of polymers
Waste treatment
Wastes
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Summary:A near-IR camera has been installed in an experimental setup for real-time plastic identification. Singular value decomposition (SVD) has been used for qualitative analysis and substantial improvement of the measured multivariate images. The obtained score plots provided spatial correlations between different pixel structures caused by sample material on the one hand and image artifacts on the other. In this way, the score plots have been used as a tool to optimize the experimental setup and image quality. The improved images were offered to a new classification algorithm called multivariate image rank analysis, based on SVD, as described in part II of this series of articles, which follows in this issue (D. Wienke, et al. Anal. Chem. 1995, 67, 3760).
ISSN:0003-2700
1520-6882