Chinese Optics, Volume. 17, Issue 4, 886(2024)

Improved droplet edge detection model based on RCF algorithm

Hui WANG1, Zhao-liang CAO1, and Jun WANG2、*
Author Affiliations
  • 1School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou 215009, China
  • 2School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
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    Figures & Tables(15)
    RCF model structure
    Improved RCF model structure
    Feature fusion
    Multi-receptive field module
    Efficient attention mechanism module
    Anti-aliasing for maximum pooling
    One-dimensional anti-aliasing operation
    Data samples
    Relationship between the loss and the number of iterations in the conventional RCF algorithm
    Relationship between the loss and the number of iterations in the improved RCF algorithm
    Edge detection results for small-angle liquid droplet
    Edge detection results for large-angle liquid droplet
    • Table 1. Performance of the improved model at each stage

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      Table 1. Performance of the improved model at each stage

      Each stagePrecision/%Recall/%F-measure/%
      Stage172.2673.3872.82
      Stage278.3181.6979.96
      Stage385.6587.4186.52
      Stage488.9289.1589.03
      Mixed Output90.1789.6489.90
    • Table 2. Results comparison of the proposed model and other relevant algorithms

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      Table 2. Results comparison of the proposed model and other relevant algorithms

      AlgorithmPrecision/%ODSOISOR/%Time/s
      Canny81.020.7170.64211.250.015
      HED87.490.7320.7357.360.025
      RCF88.320.7830.7926.740.028
      Improved-RCF90.170.8160.8295.100.041
    • Table 3. Comparison of ablation experimental results

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      Table 3. Comparison of ablation experimental results

      ModuleODSOIS
      BasicRCF0.7830.792
      BasicRCF+FM0.7950.812
      BasicRCF+FM+DC0.8090.817
      BasicRCF+FM+DC+EN0.8110.823
      BasicRCF+FM+DC+EN+MP0.8160.829
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    Hui WANG, Zhao-liang CAO, Jun WANG. Improved droplet edge detection model based on RCF algorithm[J]. Chinese Optics, 2024, 17(4): 886

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    Paper Information

    Received: Jan. 18, 2024

    Accepted: Mar. 15, 2024

    Published Online: Aug. 9, 2024

    The Author Email:

    DOI:10.37188/CO.2024-0019

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