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Proceedings Paper

Study on excitation and fluorescence spectrums of Japanese citruses to construct machine vision systems for acquiring fluorescent images
Author(s): Md. Abdul Momin; Naoshi Kondo; Makoto Kuramoto; Yuichi Ogawa; Tomoo Shigi
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Paper Abstract

Research was conducted to acquire knowledge of the ultraviolet and visible spectrums from 300 -800 nm of some common varieties of Japanese citrus, to investigate the best wave-lengths for fluorescence excitation and the resulting fluorescence wave-lengths and to provide a scientific background for the best quality fluorescent imaging technique for detecting surface defects of citrus. A Hitachi U-4000 PC-based microprocessor controlled spectrophotometer was used to measure the absorption spectrum and a Hitachi F-4500 spectrophotometer was used for the fluorescence and excitation spectrums. We analyzed the spectrums and the selected varieties of citrus were categorized into four groups of known fluorescence level, namely strong, medium, weak and no fluorescence.The level of fluorescence of each variety was also examined by using machine vision system. We found that around 340-380 nm LEDs or UV lamps are appropriate as lighting devices for acquiring the best quality fluorescent image of the citrus varieties to examine their fluorescence intensity. Therefore an image acquisition device was constructed with three different lighting panels with UV LED at peak 365 nm, Blacklight blue lamps (BLB) peak at 350 nm and UV-B lamps at peak 306 nm. The results from fluorescent images also revealed that the findings of the measured spectrums worked properly and can be used for practical applications such as for detecting rotten, injured or damaged parts of a wide variety of citrus.

Paper Details

Date Published: 2 June 2011
PDF: 8 pages
Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 80270R (2 June 2011); doi: 10.1117/12.885640
Show Author Affiliations
Md. Abdul Momin, Kyoto Univ. (Japan)
Naoshi Kondo, Kyoto Univ. (Japan)
Makoto Kuramoto, Ehime Univ. (Japan)
Yuichi Ogawa, Kyoto Univ. (Japan)
Tomoo Shigi, Kyoto Univ. (Japan)


Published in SPIE Proceedings Vol. 8027:
Sensing for Agriculture and Food Quality and Safety III
Moon S. Kim; Shu-I Tu; Kaunglin Chao, Editor(s)

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