Optics and Precision Engineering, Volume. 32, Issue 8, 1199(2024)

Sand microscopic image segmentation with enhanced tuna swarm optimization exponential entropy

Mengfei WANG1, Weixing WANG1、*, Kun XU1, and Limin LI2、*
Author Affiliations
  • 1College of Information, Chang'an University, Xi'an70064, China
  • 2School of Electrical and Electronic Engineering, Wenzhou University, Wenzhou35035, China
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    Figures & Tables(20)
    Segmentation results of sand microscopic images using several multi-class segmentation algorithms
    Schematic diagram of TSO two optimization methods
    Circle chaotic disturbance distribution and histogram
    Change process of original and improved α2
    Change process of original and improved P
    Schematic diagram of multi-threshold segmentation
    Flow chart of enhanced tuna swarm optimization exponential entropy segmentation of image
    Schematic diagrams of F3 and F6 at D=2
    Convergence curves of optimization algorithm
    Microscopic image of sand grains and its histogram
    Convergence curves of ETSO on exponential entropy
    Threshold segmentation line and segmentation map of ETSO-EXP segmentation No.4
    • Table 1. Benchmark functions

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      Table 1. Benchmark functions

      数学表达式边界
      单峰函数f1x=x12+106i=2Dxi2[-100,100]
      f2x=i=1Dxii+1[-1,1]
      f3x=i=1D(j=1ixj)2[-100,100]
      多峰函数f4x=i=1Dxisin(xi)+0.1xi[-10,10]
      f5x=1-cos(2πi=1Dxi2)+0.1i=1Dxi2[-100,100]
      f6x=i=1Dxisin(xi)[-100,100]
    • Table 2. Evaluation parameters of the intelligent optimization algorithms on the benchmark functions

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      Table 2. Evaluation parameters of the intelligent optimization algorithms on the benchmark functions

      函数SCASSADOAAFTWSOTSOMTSOCTSOETSO

      f1Avg3.01×10-111.95×10-34.71×10-209.84×10-92.81×10-15.16×10-501.37×10-511.03×10-520
      SD1.10×10-102.32×1032.31×10-195.37×10-83.36×10-11.34×10-497.35×10-505.58×10-520
      T1.5231.1762.6060.9430.7350.6530.7010.7110.646
      f2Avg5.71×10-25.09×10-51.38×10-237.77×10-78.36×10-73.91×10-595.14×10-601.10×10-600
      SD7.24×10-28.39×10-57.47×10-231.32×10-61.32×10-61.87×10-582.10×10-594.77×10-600
      T1.7411.4492.8711.3031.0960.9440.9881.0420.880
      f3Avg3.17×1046.08×1035.49×10-103.32×1032.24×1035.11×10-421.01×10-452.20×10-510
      SD1.03×1042.57×1032.96×10-91.11×1036.22×1021.82×10-415.22×10-459.37×10-510
      T2.2491.8812.8551.9791.4471.3081.3921.4701.316

      f4Avg1.35×1019.07×1001.21×10-78.05×109.51×101.19×10-181.65×10-211.36×10-281.74×10-274
      SD7.40×1002.57×1004.49×10-73.48×1001.99×1004.05×10-188.90×10-215.16×10-280
      T1.4111.0332.1540.8790.7120.5480.5620.6030.522
      f5Avg6.08×1006.18×1004.71×10-23.95×1005.00×1001.66×10-162.08×10-189.06×10-220
      SD1.98×1001.02×1005.10×10-24.74×10-16.83×10-14.71×10-167.04×10-184.88×10-210
      T1.3601.0212.3360.8520.6960.5130.5740.6030.505
      f6Avg1.25×10-13.54×10-63.26×10-33.58×10-31.00×10-14.71×10-142.21×10-165.41×10-210
      SD1.47×10-14.47×10-61.23×10-28.94×10-31.02×10-12.22×10-137.77×10-161.84×10-200
      T1.4411.1042.4540.9480.6680.5840.6310.6760.566
    • Table 3. ETSO与TSO寻找到的阈值和信息量的对比

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      Table 3. ETSO与TSO寻找到的阈值和信息量的对比

      图像TSO-EXPETSO-EXP
      lkElkE
      No.1143 99 5510.61199 143 5410.621
      No.2107 46 76 171 13715.807213 129 167 54 9215.841
      No.371 115 44 93 154 188 13420.859105 83 189 60 128 36 15120.915
      No.4205 66 142 166 124 101 3820.886112 38 164 203 137 62 8820.975
    • Table 4. Segmentation results of microscopic images of sand grains (the abscissa is the gray value, and the ordinate is the frequency)

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      Table 4. Segmentation results of microscopic images of sand grains (the abscissa is the gray value, and the ordinate is the frequency)

      图像KETSO-GreyETSO-MinCrossETSO-TsallisTSO-EXPETSO-EXP
      No.13
      No.25
      No.47
    • Table 5. PSNR values

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      Table 5. PSNR values

      图像KETSO-GreyETSO-MinCrossETSO-TsallisTSO-EXPETSO-EXP
      No.131.26×1011.17×1011.34×1011.56×1011.85×101
      51.38×1011.23×1011.54×1011.87×1011.96×101
      71.44×1011.28×1011.73×1011.94×1012.08×101
      No.231.27×1011.38×1011.29×1011.44×1011.45×101
      51.41×1011.48×1011.56×1012.04×1012.18×101
      71.48×1011.55×1011.68×1012.11×1012.37×101
      No.331.26×1011.12×1011.38×1011.60×1011.61×101
      51.39×1011.14×1011.53×1011.71×1011.82×101
      71.45×1011.24×1011.61×1011.81×1012.15×101
      No.431.29×1011.27×1011.27×1011.16×1011.18×101
      51.55×1011.32×1011.59×1011.98×1012.13×101
      71.60×1011.35×1011.74×1012.03×1012.33×101
    • Table 6. SSIM values

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      Table 6. SSIM values

      图像KETSO-GreyETSO-MinCrossETSO-TsallisTSO-EXPETSO-EXP
      No.134.43×10-15.34×10-14.32×10-15.41×10-15.44×10-1
      55.26×10-16.45×10-15.50×10-16.92×10-16.99×10-1
      75.76×10-16.99×10-15.60×10-17.41×10-17.79×10-1
      No.234.46×10-15.52×10-14.52×10-15.58×10-15.59×10-1
      55.37×10-16.76×10-15.78×10-16.96×10-17.20×10-1
      75.86×10-17.30×10-15.77×10-17.45×10-17.96×10-1
      No.333.97×10-14.90×10-14.00×10-14.78×10-14.79×10-1
      54.83×10-15.92×10-15.17×10-16.24×10-16.37×10-1
      75.32×10-16.51×10-15.20×10-16.79×10-17.11×10-1
      No.434.72×10-15.19×10-13.75×10-15.17×10-15.18×10-1
      55.70×10-16.60×10-15.25×10-16.71×10-16.89×10-1
      76.13×10-17.14×10-15.41×10-17.35×10-17.58×10-1
    • Table 7. FSIM values

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      Table 7. FSIM values

      图像KETSO-GreyETSO-MinCrossETSO-TsallisTSO-EXPETSO-EXP
      No.136.88×10-17.97×10-17.06×10-18.26×10-18.44×10-1
      57.42×10-18.49×10-17.75×10-19.03×10-19.15×10-1
      77.76×10-18.76×10-18.31×10-19.10×10-19.33×10-1
      No.236.97×10-18.27×10-16.99×10-18.34×10-18.35×10-1
      57.53×10-18.80×10-17.94×10-19.10×10-19.29×10-1
      77.86×10-19.01×10-18.32×10-19.14×10-19.52×10-1
      No.336.69×10-17.90×10-16.95×10-18.19×10-18.20×10-1
      57.23×10-18.39×10-17.65×10-18.87×10-18.98×10-1
      77.56×10-18.66×10-18.22×10-18.98×10-19.28×10-1
      No.437.42×10-18.07×10-16.67×10-18.02×10-18.04×10-1
      58.03×10-18.75×10-17.79×10-19.03×10-19.15×10-1
      78.22×10-18.95×10-18.18×10-19.08×10-19.45×10-1
    • Table 8. T values

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      Table 8. T values

      图像KETSO-GreyETSO-MinCrossETSO-TsallisTSO-EXPETSO-EXP
      No.1326.33726.95334.25426.21926.045
      527.13327.84535.68826.63126.673
      727.65428.41137.56626.6826.788
      No.2326.56526.81233.35926.61326.263
      527.15427.52735.65826.67926.501
      728.10328.54237.12326.96926.203
      No.3326.49027.07234.23726.86925.839
      526.48927.69435.36026.51926.627
      728.36228.43236.51326.84626.833
      No.4327.04627.45533.72226.07625.713
      527.28927.88135.45726.68526.419
      728.02828.49337.22327.51327.092
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    Mengfei WANG, Weixing WANG, Kun XU, Limin LI. Sand microscopic image segmentation with enhanced tuna swarm optimization exponential entropy[J]. Optics and Precision Engineering, 2024, 32(8): 1199

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    Paper Information

    Category:

    Received: Jun. 21, 2023

    Accepted: --

    Published Online: May. 29, 2024

    The Author Email: Weixing WANG (wxwang@chd.edu.cn), Limin LI (wxwang@chd.edu.cn)

    DOI:10.37188/OPE.20243208.1199

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