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Proceedings Paper

Hyperspectral imaging applied to complex particulate solids systems
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Paper Abstract

HyperSpectral Imaging (HSI) is based on the utilization of an integrated hardware and software (HW&SW) platform embedding conventional imaging and spectroscopy to attain both spatial and spectral information from an object. Although HSI was originally developed for remote sensing, it has recently emerged as a powerful process analytical tool, for non-destructive analysis, in many research and industrial sectors. The possibility to apply on-line HSI based techniques in order to identify and quantify specific particulate solid systems characteristics is presented and critically evaluated. The originally developed HSI based logics can be profitably applied in order to develop fast, reliable and lowcost strategies for: i) quality control of particulate products that must comply with specific chemical, physical and biological constraints, ii) performance evaluation of manufacturing strategies related to processing chains and/or realtime tuning of operative variables and iii) classification-sorting actions addressed to recognize and separate different particulate solid products. Case studies, related to recent advances in the application of HSI to different industrial sectors, as agriculture, food, pharmaceuticals, solid waste handling and recycling, etc. and addressed to specific goals as contaminant detection, defect identification, constituent analysis and quality evaluation are described, according to authors' originally developed application.

Paper Details

Date Published: 26 April 2008
PDF: 15 pages
Proc. SPIE 7003, Optical Sensors 2008, 70030F (26 April 2008); doi: 10.1117/12.781641
Show Author Affiliations
Giuseppe Bonifazi, Sapienza Univ. di Roma (Italy)
Silvia Serranti, Sapienza Univ. di Roma (Italy)


Published in SPIE Proceedings Vol. 7003:
Optical Sensors 2008
Francis Berghmans; Anna Grazia Mignani; Antonello Cutolo; Patrick P. Meyrueis; Thomas P. Pearsall, Editor(s)

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