高光谱成像
多光谱图像
计算机科学
质量(理念)
遥感
人工智能
环境科学
地理
认识论
哲学
作者
Chao‐Hui Feng,Yoshio Makino,Seiichi Oshita,Juan Francisco García Martín
出处
期刊:Food Control
[Elsevier BV]
日期:2017-07-18
卷期号:84: 165-176
被引量:123
标识
DOI:10.1016/j.foodcont.2017.07.013
摘要
In order to achieve rapid detection of defects and to increase the industrial operating efficiency of products without compromising their quality attributes, hyperspectral imaging (HSI) and multispectral imaging (MSI), as the technologies that simultaneously provides spectral and spatial information of foodstuffs, are now widely applied for inspecting both raw and processed meat items. This review first discusses the principles of HSI and MSI. Recent developments and applications of HSI and MSI directed at the raw and processed meat industry are then discussed. The advantages and disadvantages of hyperspectral imaging and its future prospects are also covered. This review provides a detailed overview of the recent efforts devoted to HSI and MSI technologies for evaluating the quality and safety of different meat products and the probability of its widespread application. Hyperspectral imaging, as a promising tool in developing rapid and non-invasive, is capable to detect defects in raw and processed meat products.
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