Spectroscopy and Spectral Analysis, Volume. 40, Issue 11, 3530(2020)

Identification of Chilled and Frozen-Thawed Salmon Based on Hyperspectral Imaging Technology

Zong-bao SUN*, Li-ming LIANG, Jun-kui LI, Xiao-bo ZOU, Xiao-yu LIU, and Tian-zhen WANG
Author Affiliations
  • School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
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    Figures & Tables(9)
    The flow chart of sample preparation
    Hyperspectral imaging system
    Raw (a) and average spectra (b) of chilled and frozen-thawed salmon samples
    Wavelength selection results of CARS
    Wavelength selection results of SPA(a): Characteristic wavelength screening;(b): Selected characteristic wavelength
    The first three principal component images (PC1, PC2, PC3 in turn from left to right)
    • Table 1. Identification results of chilled and frozen-thawed salmon based on full spectrum variables

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      Table 1. Identification results of chilled and frozen-thawed salmon based on full spectrum variables

      预处理
      方法
      BPANN识别率/%LDA识别率/%ELM识别率/%RF识别率/%
      校正集测试集校正集测试集校正集测试集校正集测试集
      Raw93.3391.6794.1786.6794.1790.0092.5086.67
      1st Der91.6786.6795.0091.6793.3388.3389.1781.67
      2nd Der88.3385.0090.8386.6795.0090.0091.6783.33
      MSC93.3390.0095.8388.3396.6793.3393.3390.00
      SNVT95.0091.6792.5090.0094.1791.6794.1791.67
      N93.3391.6791.6786.6793.3388.3392.5088.33
      MC95.0093.3393.3391.6791.6786.6788.3385.00
    • Table 3. Identification results of chilled and frozen-thawed salmon based on spectral and texture information

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      Table 3. Identification results of chilled and frozen-thawed salmon based on spectral and texture information

      变量模型模型识别率/%
      校正集测试集
      纹理BPANN81.6771.67
      LDA77.5075.00
      ELM83.3378.33
      RF81.6776.67
      光谱+纹理BPANN95.8390.00
      LDA94.1788.33
      ELM96.6791.67
      RF91.6788.33
    • Table 4. Identification results of frozen-thawed times of salmon based on spectral and texture information

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      Table 4. Identification results of frozen-thawed times of salmon based on spectral and texture information

      变量模型模型识别率/%
      校正集测试集
      光谱BPANN93.3388.33
      LDA89.1786.67
      ELM97.5091.67
      RF93.3385.00
      纹理BPANN71.6763.33
      LDA69.1765.00
      ELM75.8366.67
      RF77.5071.67
      光谱+纹理BPANN88.3383.33
      LDA81.6776.67
      ELM94.1790.00
      RF85.8381.67
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    Zong-bao SUN, Li-ming LIANG, Jun-kui LI, Xiao-bo ZOU, Xiao-yu LIU, Tian-zhen WANG. Identification of Chilled and Frozen-Thawed Salmon Based on Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2020, 40(11): 3530

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    Paper Information

    Category: Research Articles

    Received: May. 19, 2020

    Accepted: --

    Published Online: Jun. 18, 2021

    The Author Email: Zong-bao SUN (zongbaos@163.com)

    DOI:10.3964/j.issn.1000-0593(2020)11-3530-07

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