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利用高光譜圖像技術(shù)檢測水果輕微損傷
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    摘要:

    提出了利用高光譜圖像技術(shù)檢測水果輕微損傷的方法。試驗以蘋果為研究對象,利用500~900 nm范圍內(nèi)的高光譜圖像數(shù)據(jù),通過主成分分析提取547 nm波長下的特征圖像,然后設計不均勻二次差分消除了蘋果圖像亮度分布不均勻的影響,,最后通過合適的數(shù)字圖像處理方法提取蘋果的輕微損傷,。試驗結(jié)果表明,,高光譜圖像技術(shù)對蘋果輕微損傷的檢測正確率達到

    Abstract:

    88.57%,。 The hyperspectral imaging technology was proposed to detect the subtle bruises on fruits. Apples were adopted as the experimental object. The apples’ hyperspectral images between 500 nm and 900 nm wavelength were analyzed via the principal components analysis, and the feature images under 547nm wavelength were selected to detect the bruises on apples. The asymmetric brightness of the images was eliminated with asymmetric second difference subsequently. Finally, the feature of bruise was extracted through appropriate image processing. The experimental results show that detecting subtle bruises on fruits on-line with hyperspectral imaging technology is realized and the accuracy is 88.57%.

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趙杰文,劉劍華,陳全勝,Saritporn Vittayapadung.利用高光譜圖像技術(shù)檢測水果輕微損傷[J].農(nóng)業(yè)機械學報,2008,39(1):106-109.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(1):106-109.

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