• Laser & Optoelectronics Progress
  • Vol. 59, Issue 12, 1210016 (2022)
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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    DOI: 10.3788/LOP202259.1210016 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Structure of the ResNeXt residual block
    Fig. 1. Structure of the ResNeXt residual block
    Multi-scale feature guiding structure
    Fig. 2. Multi-scale feature guiding structure
    Structure of the IDF-SE
    Fig. 3. Structure of the IDF-SE
    Overall network structure after the improvement
    Fig. 4. Overall network structure after the improvement
    Examples of some pictures of the dataset
    Fig. 5. Examples of some pictures of the dataset
    Loss value changes for training and verification
    Fig. 6. Loss value changes for training and verification
    Confusion matrix
    Fig. 7. Confusion matrix
    Comparison of heat maps
    Fig. 8. Comparison of heat maps
    Comparison of loss curves of various models
    Fig. 9. Comparison of loss curves of various models
    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 1. Recognition results of the proposed model for different mushroom
    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 2. Recognition results of different models on the data set
    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
    Table 3. Gain of different modules to the network model
    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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