Paper
2 June 2011 Study on excitation and fluorescence spectrums of Japanese citruses to construct machine vision systems for acquiring fluorescent images
Md. Abdul Momin, Naoshi Kondo, Makoto Kuramoto, Yuichi Ogawa, Tomoo Shigi
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Md. Abdul Momin, Naoshi Kondo, Makoto Kuramoto, Yuichi Ogawa, and Tomoo Shigi "Study on excitation and fluorescence spectrums of Japanese citruses to construct machine vision systems for acquiring fluorescent images", Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 80270R (2 June 2011); https://doi.org/10.1117/12.885640
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Cited by 2 scholarly publications.
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KEYWORDS
Luminescence

Ultraviolet radiation

Machine vision

Lamps

Absorption

Light sources and illumination

Spectrophotometry

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