Line-Scan Hyperspectral Imaging Techniques for Food Safety and Quality Applications
AbstractHyperspectral imaging technologies in the food and agricultural area have been evolving rapidly over the past 15 years owing to tremendous interest from both academic and industrial fields. Line-scan hyperspectral imaging is a major method that has been intensively researched and developed using different physical principles (e.g., reflectance, transmittance, fluorescence, Raman, and spatially resolved spectroscopy) and wavelength regions (e.g., visible (VIS), near infrared (NIR), and short-wavelength infrared (SWIR)). Line-scan hyperspectral imaging systems are mainly developed and used for surface inspection of food and agricultural products using area or line light sources. Some of these systems can also be configured to conduct spatially resolved spectroscopy measurements for internal or subsurface food inspection using point light sources. This paper reviews line-scan hyperspectral imaging techniques, with introduction, demonstration, and summarization of existing and emerging techniques for food and agricultural applications. The main topics include related spectroscopy techniques, line-scan measurement methods, hardware components and systems, system calibration methods, and spectral and image analysis techniques. Applications in food safety and quality are also presented to reveal current practices and future trends of line-scan hyperspectral imaging techniques. View Full-Text
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Qin, J.; Kim, M.S.; Chao, K.; Chan, D.E.; Delwiche, S.R.; Cho, B.-K. Line-Scan Hyperspectral Imaging Techniques for Food Safety and Quality Applications. Appl. Sci. 2017, 7, 125.
Qin J, Kim MS, Chao K, Chan DE, Delwiche SR, Cho B-K. Line-Scan Hyperspectral Imaging Techniques for Food Safety and Quality Applications. Applied Sciences. 2017; 7(2):125.Chicago/Turabian Style
Qin, Jianwei; Kim, Moon S.; Chao, Kuanglin; Chan, Diane E.; Delwiche, Stephen R.; Cho, Byoung-Kwan. 2017. "Line-Scan Hyperspectral Imaging Techniques for Food Safety and Quality Applications." Appl. Sci. 7, no. 2: 125.
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