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Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210016(2022)

Fine-Grained Image Recognition of Wild Mushroom Based on Multiscale Feature Guide

Zhigang Zhang, Pengfei Yu*, Haiyan Li, and Hongsong Li
Author Affiliations
  • School of Information Science & Engineering, Yunnan University, Kunming 650500, Yunnan , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (12)
    Equations (7)
    References (26)
    Cited By (5)
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    Paper Information
    Topics
    Figures & Tables(12)
    Structure of the ResNeXt residual block

    Fig. 1. Structure of the ResNeXt residual block

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    Multi-scale feature guiding structure

    Fig. 2. Multi-scale feature guiding structure

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    Structure of the IDF-SE

    Fig. 3. Structure of the IDF-SE

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    Overall network structure after the improvement

    Fig. 4. Overall network structure after the improvement

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    Examples of some pictures of the dataset

    Fig. 5. Examples of some pictures of the dataset

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    Loss value changes for training and verification

    Fig. 6. Loss value changes for training and verification

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    Confusion matrix

    Fig. 7. Confusion matrix

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    Comparison of heat maps

    Fig. 8. Comparison of heat maps

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    Comparison of loss curves of various models

    Fig. 9. Comparison of loss curves of various models

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    • Table 1. Recognition results of the proposed model for different mushroom

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      Table 1. Recognition results of the proposed model for different mushroom

      SpeciePrecision /%Recall /%
      Black boletus97.396.7
      Red boletus97.698.3
      Yellow boletus97.496.8
      Aeruginosa96.597.1
      Lactarius97.296.3
      Chanterelles96.698.3
      Grain ripening fungus95.595.2
      Trichotomy equestre96.495.7

    • Table 2. Recognition results of different models on the data set

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      Table 2. Recognition results of different models on the data set

      ModelAccuracy /%Precision /%Recall /%F1 /%
      VGG1988.3788.9989.3789.18
      DenseNet12191.3491.2690.8991.07
      Inception_V393.2393.3593.4493.39
      ResNet5093.1793.1393.4193.27
      ShuffleNet_v292.2288.8992.8590.83
      ResNeXt5093.8393.9793.9493.95
      Proposed model96.4796.5896.5696.57

    • Table 3. Gain of different modules to the network model

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      Table 3. Gain of different modules to the network model

      ModelAccuracy /%Precision /%Recall /%F1 /%
      ResNeXt5093.8393.9793.9493.95
      Backbone+ SE94.0293.9892.8593.41
      Backbone+ IDF⁃SE94.6594.6194.5894.59
      Backbone+ MSFG95.9196.0294.0194.99
      Backbone+ MSFG+ IDF⁃SE96.4796.5896.5696.57
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    Zhigang Zhang, Pengfei Yu, Haiyan Li, Hongsong Li. Fine-Grained Image Recognition of Wild Mushroom Based on Multiscale Feature Guide[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210016

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    Paper Information

    Category: Image Processing

    Received: Jul. 2, 2021

    Accepted: Aug. 17, 2021

    Published Online: May. 23, 2022

    The Author Email: Pengfei Yu (pfyu@ynu.edu.cn)

    DOI:10.3788/LOP202259.1210016

    Topics

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