• Acta Optica Sinica
  • Vol. 43, Issue 12, 1210001 (2023)
Renqing Jia1、2, Gaofang Yin2、*, Nanjing Zhao1、2、**, Min Xu2, Xiang Hu3, Peng Huang3, Tianhong Liang2, Yu Zhu4, Xiaowei Chen2, Tingting Gan2, and Xiaoling Zhang5
Author Affiliations
  • 1School of Environment Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, Anhui, China
  • 2Key Laboratory of Environment Optics and Technology, Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China
  • 3Hefei University, Hefei 230601, Anhui, China
  • 4Anhui Ecological Environment Monitoring Center, Hefei 230061, Anhui, China
  • 5Anhui University, Hefei 230601, Anhui, China
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    DOI: 10.3788/AOS222153 Cite this Article Set citation alerts
    Renqing Jia, Gaofang Yin, Nanjing Zhao, Min Xu, Xiang Hu, Peng Huang, Tianhong Liang, Yu Zhu, Xiaowei Chen, Tingting Gan, Xiaoling Zhang. Multi-Focus Image Fusion Method for Microscopic Algal Images[J]. Acta Optica Sinica, 2023, 43(12): 1210001 Copy Citation Text show less
    Flow of proposed microscopic multi-focus image fusion method
    Fig. 1. Flow of proposed microscopic multi-focus image fusion method
    Anabaena sp. multi-focus microscopic images obtained by moving the platform to 7 μm
    Fig. 2. Anabaena sp. multi-focus microscopic images obtained by moving the platform to 7 μm
    Scenedesmus sp. multi-focus microscopic images obtained by moving the platform to 7 μm
    Fig. 3. Scenedesmus sp. multi-focus microscopic images obtained by moving the platform to 7 μm
    Pediastrum sp. multi-focus microscopic images obtained by moving the platform to 15 μm
    Fig. 4. Pediastrum sp. multi-focus microscopic images obtained by moving the platform to 15 μm
    Visual comparison of fusion results for WT, LP, PCNN, and proposed methods
    Fig. 5. Visual comparison of fusion results for WT, LP, PCNN, and proposed methods
    Comparison of residual errors of WT, LP, PCNN, and proposed methods
    Fig. 6. Comparison of residual errors of WT, LP, PCNN, and proposed methods
    SampleIndicatorWTLPPCNNProposed
    Anabaena sp.Entropy5.61425.49305.76765.9804
    Average gradient0.00280.00300.00380.0055
    Spatial frequency4.50934.80506.11878.9654
    Standard deviation5.71355.03387.43906.0689
    QAB/F0.26830.22750.22610.3529
    Time /s5.551.8352.702.23
    Scenedesmus sp.Entropy6.41406.59526.45806.5273
    Average gradient0.00130.00150.00150.0023
    Spatial frequency3.96494.49374.78977.0558
    Standard deviation7.74127.64708.50407.7291
    QAB/F0.32900.31410.27500.3778
    Time /s5.501.8247.502.33
    Pediastrum sp.Entropy4.01543.91143.94044.0134
    Average gradient0.00040.00040.00040.0005
    Spatial frequency1.37951.31871.45591.5445
    Standard deviation12.938412.687115.104213.6266
    QAB/F0.23480.20030.20300.2940
    Time /s4.701.7045.102.10
    Table 1. Comparison of objective indicators for WT, LP, PCNN, and proposed methods
    Renqing Jia, Gaofang Yin, Nanjing Zhao, Min Xu, Xiang Hu, Peng Huang, Tianhong Liang, Yu Zhu, Xiaowei Chen, Tingting Gan, Xiaoling Zhang. Multi-Focus Image Fusion Method for Microscopic Algal Images[J]. Acta Optica Sinica, 2023, 43(12): 1210001
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