Spectroscopy and Spectral Analysis, Volume. 42, Issue 7, 2290(2022)

Early Warning Method of Apple Spoilage Based on 2D Hyperspectral Information Representation With Pixel Mean and Variance

Zhi-hao WANG*, Yong YIN*;, Hui-chun YU, Yun-xia YUAN, and Shu-ning XUE
Author Affiliations
  • College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China
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    Figures & Tables(12)
    Hyperspectral image acquisition system
    Extraction of interest region in apple sample image
    The spectral data of apple samples based on the mean representation before and after SG treatment(a): Before SG smoothing; (b): After SG smoothing
    The spectral data of apple samples based on the variance representation before and after SG treatment(a): Before SG smoothing; (b): After SG smoothing
    The change of hue angle of apple samples with the storage days
    The spectral data of apple samples at 675.11 nm based on mean representation
    The Bhattacharyya distance results of hyperspectral information based on mean representation
    Bhattacharyya distance of hyperspectral information based on variance representation
    Bhattacharyya distance results based on 2D hyperspectral information representation with mean and variance
    • Table 1. Hue angle change of apple samples

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      Table 1. Hue angle change of apple samples

      贮藏日数/dH*贮藏日数/dH*
      114.431522.23
      215.191621.75
      315.021722.18
      618.682022.88
      716.632124.45
      816.902224.41
      917.342324.18
      1018.682426.17
      1320.302725.99
      1420.85
    • Table 2. Water loss rate change of apple samples

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      Table 2. Water loss rate change of apple samples

      贮藏
      日数/d
      失水率贮藏
      日数/d
      失水率贮藏
      日数/d
      失水率
      10.00100.45191.01
      20.04110.52201.11
      30.08120.59211.18
      40.13130.64221.28
      50.17140.70231.36
      60.22150.76241.42
      70.26160.82251.52
      80.31170.88261.61
      90.38180.94271.71
    • Table 3. Feature wavelengths

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      Table 3. Feature wavelengths

      表征类型特征波长/nm
      均值428.04635.76652.12676.14689.41705.73960.97
      方差440.09479.52502.58624.50631.15649.05663.88689.92
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    Zhi-hao WANG, Yong YIN, Hui-chun YU, Yun-xia YUAN, Shu-ning XUE. Early Warning Method of Apple Spoilage Based on 2D Hyperspectral Information Representation With Pixel Mean and Variance[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2290

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    Paper Information

    Category: Orginal Article

    Received: May. 31, 2021

    Accepted: --

    Published Online: Nov. 16, 2022

    The Author Email: Zhi-hao WANG (2898721698@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)07-2290-07

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