Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1218001(2024)

Bright-Field Microscopic Image Sharpening Method with Improved Anisotropy Guided Filtering

Chenwei Huang, Hesong Jiang, Xueyuan Wang*, Qiuyue Xu, and Wanfen Han
Author Affiliations
  • School of Information Engineering, Southwest University of Science and Technology, Mianyang 621000, Sichuan , China
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    Figures & Tables(14)
    Overall implementation process of the bright-field microscopic image sharpening method with improved anisotropy-guided filtering
    Local detail halo comparison of guided filtering and anisotropic guided filtering processing results. (a) Input image; (b) guided filtering result; (c) anisotropic guided filtering result; (d) saliency map of the guided filtering result; (e) saliency map of the anisotropy-guided filtering result
    Filtering processing results and saliency maps of AnisGF algorithm and proposed improved AnisGF algorithm. (a) (c) Processing results of AnisGF algorithm; (b) (d) saliency maps of Fig.3(a) and Fig.3(c); (e) (g) processing results of the proposed improved filtering; (f) (h) salient images of Fig.3(e) and Fig.3(g)
    Input image and its mask image. (a) Input image; (b) result of adding 100 grayscale value to the output mask
    Local results of a breast cancer cell image processed by different filtering unsharp mask algorithms. (a) Original bright field cell image; (b) MUM algorithm; (c) NUM algorithm; (d) BUM algorithm; (e) GFUM algorithm; (f) proposed algorithm
    Local results of a gastric cancer cell image processed by different filtering unsharp mask algorithms. (a) Original bright field cell image; (b) MUM algorithm; (c) NUM algorithm; (d) BUM algorithm; (e) GFUM algorithm; (f) proposed algorithm
    Local results of a cell image carrying Leishmania parasites processed by different filtering unsharp mask algorithms. (a) Original bright field cell image; (b) MUM algorithm; (c) NUM algorithm; (d) BUM algorithm; (e) GFUM algorithm; (f) proposed algorithm
    Partial results of objective experiments. (a) Images of cells carrying Leishmania parasites; (b)‒(d) images of cancer tissue slices
    Box plots of different evaluation indicators under the two datasets. (a) PSNR; (b) RMSE; (c) MS-SSIM
    Results of the ablation experiment. (a) Local area of the cell image carrying the Leishmania parasite; (b) result without edge preservation filtering; (c) result of anisotropy-guided filtering; (d) result of improved anisotropy-guided filtering
    • Table 1. Parameters of each algorithm model

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      Table 1. Parameters of each algorithm model

      ParameterMUMNUMBUMGFUMProposed algorithm
      R5553
      λ2222
      OthersCR is 100ε=0.001ε=0.001, α=1, γ=0.001
    • Table 2. Average value of evaluation indexes obtained by different algorithms on Leishmania parasite dataset

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      Table 2. Average value of evaluation indexes obtained by different algorithms on Leishmania parasite dataset

      ParameterMUMNUMBUMGFUMOurs
      PSNR33.740529.644435.805836.436241.1430
      RMSE0.0004290.0010950.0002750.0002280.000090
      SSIM0.82610.60450.92860.87410.9905
    • Table 3. Average value of evaluation indexes obtained by different algorithms on PanNuKe dataset

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      Table 3. Average value of evaluation indexes obtained by different algorithms on PanNuKe dataset

      ParameterMUMNUMBUMGFUMOurs
      PSNR27.245624.413325.096927.2628.8541
      RMSE0.0029530.0053190.0038710.0021740.001939
      SSIM0.84690.75670.86330.87350.9283
    • Table 4. Results of ablation experiments

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      Table 4. Results of ablation experiments

      Edge preserving filteringOriginal input imagePSNRRMSESSIM
      A-BA33.75390.0004300.8373
      C-BA40.42220.0001040.9850
      D-BA41.14300.0000900.9905
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    Chenwei Huang, Hesong Jiang, Xueyuan Wang, Qiuyue Xu, Wanfen Han. Bright-Field Microscopic Image Sharpening Method with Improved Anisotropy Guided Filtering[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1218001

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    Paper Information

    Category: Microscopy

    Received: Jun. 30, 2023

    Accepted: Aug. 10, 2023

    Published Online: Jun. 5, 2024

    The Author Email: Xueyuan Wang (121053406@qq.com)

    DOI:10.3788/LOP231635

    CSTR:32186.14.LOP231635

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