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Spectroscopy and Spectral Analysis, Volume. 42, Issue 10, 3298(2022)

Recognition of Shellfish Based on Visible Spectrum and Convolutional Neural Network

Yang ZHANG1、1; 2;, Jun YUE1、1; *;, Shi-xiang JIA1、1;, Zhen-bo LI2、2;, and Guo-rui SHENG1、1;
Author Affiliations
  • 11. School of Information and Electrical Engineering, Ludong University, Yantai 264025, China
  • 22. School of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
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    References (11)
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    Figures & Tables(10)
    Feature selection

    Fig. 1. Feature selection

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    The establishment process of the shellfish image dataset

    Fig. 2. The establishment process of the shellfish image dataset

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    Images of part of the shellfish dataset

    Fig. 3. Images of part of the shellfish dataset

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    Some images of shellfish with high similarity

    Fig. 4. Some images of shellfish with high similarity

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    Bar chart of sample distribution

    Fig. 5. Bar chart of sample distribution

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    Training results of Resnest neural network model

    Fig. 6. Training results of Resnest neural network model

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    Comparison of training results of four network models

    Fig. 7. Comparison of training results of four network models

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    Comparison of training results of three network models

    Fig. 8. Comparison of training results of three network models

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    • Table 1. Comparison of test results of four network models

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      Table 1. Comparison of test results of four network models

      网络模型训练时长/s测试集平均正确率/%
      Resnest23 28092.20
      F_Net25 08093.13
      L_Net22 26092.57
      FL_Net22 32093.38

    • Table 2. Comparison of test results of four network models

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      Table 2. Comparison of test results of four network models

      网络模型训练时长/s测试集平均正确率/%
      SN_Net[9]25 50089.04
      MutualNet[12]24 78092.53
      FL_Net(本文)22 32093.38
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    Yang ZHANG, Jun YUE, Shi-xiang JIA, Zhen-bo LI, Guo-rui SHENG. Recognition of Shellfish Based on Visible Spectrum and Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3298

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    Paper Information

    Category: Research Articles

    Received: May. 26, 2021

    Accepted: Apr. 7, 2022

    Published Online: Nov. 23, 2022

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2022)10-3298-09

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology