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Full-Text Articles in Food Processing
The Calculation Methods Of Goat Trunk’S Segmentation Trajectory Based On Machine Vision And Machine Learning, Li Zhen-Qiang, Wang Shu-Cai, Zhao Shi-Da, Wang Yu-Quan
The Calculation Methods Of Goat Trunk’S Segmentation Trajectory Based On Machine Vision And Machine Learning, Li Zhen-Qiang, Wang Shu-Cai, Zhao Shi-Da, Wang Yu-Quan
Food and Machinery
An automated segmentation method of goat trunk with machine vision and machine learning was proposed. 396 images of goat trunk were acquired randomly in a goat slaughtering plant by using two industrial cameras. 24 sets of feature parameters were extracte
Detection Of Fish Fillet Substitution And Mislabeling Using Multimode Hyperspectral Imaging Techniques, Jianwei Qin, Fartash Vasefi, Rosalee S. Hellberg, Alireza Akhbardeh, Rachel B. Isaacs, Ayse Gamze Yilmaz, Chansong Hwang, Insuck Baek, Walter F. Schmidt, Moon S. Kim
Detection Of Fish Fillet Substitution And Mislabeling Using Multimode Hyperspectral Imaging Techniques, Jianwei Qin, Fartash Vasefi, Rosalee S. Hellberg, Alireza Akhbardeh, Rachel B. Isaacs, Ayse Gamze Yilmaz, Chansong Hwang, Insuck Baek, Walter F. Schmidt, Moon S. Kim
Food Science Faculty Articles and Research
Substitution of high-priced fish species with inexpensive alternatives and mislabeling frozen-thawed fish fillets as fresh are two important fraudulent practices of concern in the seafood industry. This study aimed to develop multimode hyperspectral imaging techniques to detect substitution and mislabeling of fish fillets. Line-scan hyperspectral images were acquired from fish fillets in four modes, including reflectance in visible and near-infrared (VNIR) region, fluorescence by 365 nm UV excitation, reflectance in short-wave infrared (SWIR) region, and Raman by 785 nm laser excitation. Fish fillets of six species (i.e., red snapper, vermilion snapper, Malabar snapper, summer flounder, white bass, and tilapia) were …