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Hyperspectral and multispectral imaging for evaluating food safety and quality

机译:高光谱和多光谱成像可评估食品安全性和质量

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摘要

Spectral imaging technologies have been developed rapidly during the past decade. This paper presents hyperspectral and multispectral imaging technologies in the area of food safety and quality evaluation, with an introduction, demonstration, and summarization of current spectral imaging techniques available to the food industry for practical commercial use. The main topics include methods for acquiring spectral images, components for building spectral imaging systems, methods for calibrating spectral imaging systems, and techniques for analyzing spectral images. The applications for evaluating food and agricultural products are presented to reflect common practices of the spectral imaging techniques. Future development of hyperspectral and multispectral imaging is also discussed.
机译:光谱成像技术在过去的十年中发展迅速。本文介绍了食品安全和质量评估领域的高光谱和多光谱成像技术,并对食品工业中可用于实际商业用途的当前光谱成像技术进行了介绍,演示和总结。主要主题包括获取光谱图像的方法,用于构建光谱成像系统的组件,用于校准光谱成像系统的方法以及用于分析光谱图像的技术。介绍了用于评估食品和农产品的应用程序,以反映光谱成像技术的常规做法。还讨论了高光谱和多光谱成像的未来发展。

著录项

  • 来源
    《Journal of food engineering》 |2013年第2期|157-171|共15页
  • 作者单位

    USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA;

    USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA;

    USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA;

    USDA/ARS Sugarbeet and Bean Research Unit, Michigan State University, 224 Farrall Hall, East Lansing, Ml 48824, USA;

    Department of Agricultural and Biological Engineering, University of Florida, P.O. Box 110570, Gainesville, FL 32611, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hyperspectral; Multispectral; Machine vision; Nondestructive sensing; Food safety; Food quality;

    机译:高光谱;多光谱机器视觉无损感测;食品安全;食物品质;

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