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Proceedings Paper

Wavelet- and entropy-based feature extraction: application to distinguishing mixtures of beverages
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Paper Abstract

The work which we report on here makes use of a new (patented) technique for measuring the tensile and viscosity properties of any liquid. One modality uses a laser-derived beam of light directed into a drop as it builds up on a drop-head, grows and eventually falls off through gravity. The light is reflected through the drop, and a trace is built up of its intensity over time. The trace has been found to have very good discrimination potential for various classes of liquid. Other sensing modalities can be used, -- multiple simultaneous optical and near infrared wavelengths, ultraviolet, ultrasound. In the studies reported on here, we use the ultrasound modality. Further background on this new technology for the fingerprinting of liquid content and composition can be found in McMillan et al. (1992, 1998, 2000).

Paper Details

Date Published: 19 March 2003
PDF: 8 pages
Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); doi: 10.1117/12.463733
Show Author Affiliations
Munevver Kokuer, Queen's Univ. Belfast (United Kingdom)
Fionn D. Murtagh, Queen's Univ. Belfast (United Kingdom)
Andreas T. Augousti, Kingston Univ. (United Kingdom)
Julian Mason, Kingston Univ. (United Kingdom)
Norman Douglas McMillan, Institute of Technology Carlow (Ireland)


Published in SPIE Proceedings Vol. 4877:
Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision
Andrew Shearer; Fionn D. Murtagh; James Mahon; Paul F. Whelan, Editor(s)

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