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农畜产品品质无损检测中高光谱图像技术的应用进展 被引量:49

Review of Hyperspectral Imaging in Quality and Safety Inspections of Agricultural and Poultry Products
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摘要 高光谱图像技术结合了计算机图像与光谱技术两者的优点,是农畜产品品质检测技术的发展趋势。阐述了农畜产品品质检测中高光谱图像技术的硬件组成和图像的获取方法。介绍了高光谱图像技术在农畜产品品质检测中的应用现状以及数据处理方法,重点分析了不均匀二次差分算法和独立分量分析算法。对高光谱图像技术应用于农畜产品品质检测的技术发展提出了建议。 A tendency of nondestructive inspecting technology for quality and safety of agricultural and poultry products is a hyperspectral imaging system, which possesses the advantages of both computer vision and spectroscopy inspecting technologies. The methods of acquiring hyperspectral imaging in inspecting of quality and safety of agricultural and poultry products were introduced in this paper. The inspecting technology of interior quality of kiwifruit, bruise and contamination in apple, poultry contamination and tomato maturity sorting by means of hyperspectral imaging were discussed. The new process methodology of data for hyperspectral imaging was analyzed and future research aspects were pointed out.
出处 《农业机械学报》 EI CAS CSCD 北大核心 2005年第9期139-143,共5页 Transactions of the Chinese Society for Agricultural Machinery
基金 国家自然科学基金资助项目(项目编号:30460059) 国家"863"高技术研究发展计划资助项目(项目编号:2002AA248051)
关键词 农产品 无损检测 高光谱图像 Agricultural product, Nondestructive inspection, Hyperspectral image
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参考文献22

  • 1Chen Y R, Chao K, Kim M S. Machine vision technology for agricultural applications. Computer and Electronics in Agriculture, 2002, 36 : 173 ~ 191.
  • 2Cao K, Mehl P M, Chen Y R. Use of hyper-and multi-spectral imaging for detection of chicken skin tumors. Applied Engineering in Agriculture, 2002,18(1): 113~119.
  • 3Kim M S, Chen Y R, Mehl P M. Hyperspectral reflectance and fluorencence imaging system for food quality and safety. Transactions of ASAE, 2001, 44(3):721~729.
  • 4Kim M S, Lefcourt A M, Chao K, et al. Multispectral detection of fecal contamination on apples based on hyperspectral imagery . Part Ⅰ . Application of visible and near-infrared reflectance imaging. Transactions of ASAE,2002, 45(6):2 027~2 037.
  • 5Kim M S, Lefcourt A M, Chao K, et al. Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part Ⅱ. Application of hyperspectral fluorescence imaging. Transactions of ASAE, 2002, 45(6):2 039~2 047.
  • 6Lu R, Chen Y R. Hyperspectral imaging for safety imspection of food and agricultural products. Proceedings of SPIE, 1999,3544:121 ~ 133.
  • 7Park B, Lawrence K C, Windham W R, et al. Hyperspectral imaging for detecting fecal and ingesta contamination on poultry carcass. Transactions of ASAE, 2002, 45(6):2 017~2 026.
  • 8Park B, Lawrence K C, Windham W R, et al. Hyperspectral imaging for food processing automation. Proceedings of SPIE, 2002, 4816:308~316.
  • 9Emira M. Prediction of the sensory quality of apples by physical measurements. Postharvest Biology and Technology, 2004,34: 257~ 269.
  • 10Mehl P M, Chao K, Kim M, et al. Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis. Applied Engineering in Agriculture, 2002,18(2): 219~226.

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