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Proceedings Paper

Two-wavelength spectral imaging-based Thai rice breed identification
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Paper Abstract

This paper combines multispectral imaging and simple image processing techniques for the non-destructive identification of Thai rice breeds. Especially, we exploit only two fluorescent wavelengths in a 500-580 nm wavelength band and utilize simple image thresholding, blob filtering, and blob analysis techniques in order to identify 8 different Thai rice breeds. Other key features include no waste produced and fast identification time. In our experimental study, UVC light is used as our exciting light, a liquid crystal tunable optical filter is used for our wavelength selection, and a camera with 644×488 active pixels is used to capture desired wavelength images. Milled rice grains from 8 different Thai rice breeds having similar size and shape are tested. There is also one glutinous rice breed in our experiment. Our experimental result shows that by suitably applying image thresholding, blob filtering, and blob analysis to fluorescent images, all Thai rice breeds can be effectively identified.

Paper Details

Date Published: 15 May 2010
PDF: 10 pages
Proc. SPIE 7715, Biophotonics: Photonic Solutions for Better Health Care II, 77150I (15 May 2010); doi: 10.1117/12.853507
Show Author Affiliations
Sarun Sumriddetchkajorn, National Electronics and Computer Technology Ctr. (Thailand)
Kajpanya Suwansukho, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Prathan Buranasiri, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 7715:
Biophotonics: Photonic Solutions for Better Health Care II
Jürgen Popp; Wolfgang Drexler; Valery V. Tuchin; Dennis L. Matthews, Editor(s)

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