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Study on excitation and fluorescence spectrums of Japanese citruses to construct machine vision systems for acquiring fluorescent images

机译:研究日本柑橘的激发和荧光光谱以构建用于获取荧光图像的机器视觉系统

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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.
机译:进行了研究,以了解日本柑桔一些常见品种的300 -800 nm的紫外和可见光谱,以研究用于荧光激发的最佳波长和所得的荧光波长,并为该技术提供科学背景。用于检测柑橘表面缺陷的最佳质量的荧光成像技术。使用基于日立U-4000 PC的微处理器控制的分光光度计测量吸收光谱,使用日立F-4500分光光度计测量荧光和激发光谱。我们分析了柑橘的光谱并将选定的柑橘品种分为已知荧光水平的四组,即强,中,弱和无荧光。还使用机器视觉系统检查了每个品种的荧光水平。我们发现大约340-380 nm的LED或UV灯适合用作照明设备,以获取柑橘品种的最佳质量荧光图像以检查其荧光强度。因此,使用三个不同的照明面板构造图像采集设备,其中,UV LED的峰值为365 nm,Blacklight蓝色灯(BLB)的峰值为350 nm,UV-B灯的峰值为306 nm。荧光图像的结果还表明,所测光谱的发现工作正常,可用于实际应用,例如检测各种柑橘的腐烂,受伤或损坏的部分。

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