Chinese Journal of Lasers, Volume. 45, Issue 1, 104001(2018)

Microstructures of Ancient Porcelains Based on Optical Coherence Tomography

Zhong Danxia1,2、*, Guo Musen3, Hu Yongqing3, Liu Song1,2, Dong Junqing1,2, and Li Qinghui1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Figures & Tables(16)
    Pictures of typical porcelain fragment samples at Qingliangsi site in Baofeng County, Henan Province
    Classification process of glaze layers based on OCT images
    OCT gray images of different types of glaze layers (n=1.500, each pixel size is 1.2 μm×5.3 μm).(a),(b) Glass phase dominant type glaze; (c),(d) non-uniform scattering type glaze; (e),(f) homogeneous scattering type glaze
    OCT images of sample BQ-15-3 (n=1.500, each pixel size is 1.2 μm×5.3 μm). (a) Original OCT image; (b) extracted image of glaze layer segmentation; (c) contrast enhancement image
    PCA classification diagram of texture image of samples
    Two-dimensional plot of cosolvent content of porcelain glaze and mole ratio of silicon alumina
    Back scattering SEM images and EDS test points of sample BQ-15-3 glaze layer. (a) 1000×; (b) 10000×
    Backscattering SEM image and EDS test points of typical inhomogeneous scattering glaze layer inclusions. (a) Sample BQ-18-2 (100×); (b) sample BQ-18-2(2000×); (c) sample BQ-16-3; (d) sample BQ-16-5
    Backscattered SEM images and EDS test points of samples BQG15G3 red area glaze layer. (a) 2000×; (b) 5000×
    Raman spectrum of typical sample glaze inclusion. (a),(b) BQ-15-3; (c),(d) BQ-16-3; (e),(f) BQ-16-5
    • Table 1. Information of porcelain samples at Qingliangsi site in Baofeng County, Henan Province

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      Table 1. Information of porcelain samples at Qingliangsi site in Baofeng County, Henan Province

      SampleTypeDescriptionTime
      BQ-8-1Jun porcelainGray body and blue glazeYuan dynasty(AD 1206-1368)
      BQ-8-2Gray body and blue glaze
      BQ-8-3Gray body and blue glaze
      BQ-8-4Gray body and blue glaze
      BQ-8-5Gray body and blue glaze
      BQ-8-6Gray body and blue glaze
      BQ-15-1Bowls of Jun glazeGray body and blue glaze
      BQ-15-2Gray body and green glaze with red
      BQ-15-3Gray body and green glaze with red
      BQ-15-4Gray body and blue glaze
      BQ-15-5Gray body and blue glaze
      BQ-16-1Celadon bowlsGray body and green glazeJin dynasty(AD 1115-1234)
      BQ-16-2Gray body and green glaze
      BQ-16-3Gray body and green glaze
      BQ-16-4Gray body and green glaze
      BQ-16-5Gray body and green glaze
      BQ-18-1Celadon bowlswithout decorationsGray body and green glaze
      BQ-18-2White body and green glaze
      BQ-18-3White body and green glaze
      BQ-18-4White body and green glaze
      BQ-18-5Grown body and green glaze
      BQ-18-6White body and green glaze
      BQ-18-7White body and green glaze
      BQ-18-8Gray body and green glaze
      BQ-36-1Celadon bowls withprinted patternsGray body and green glaze
      BQ-36-2Gray body and green glaze
      BQ-36-3Gray body and green glaze
      BQ-36-4White body and green glaze
      BQ-36-5Gray body and green glaze
    • Table 2. Qualitative classification of glaze layers based on OCT image features

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      Table 2. Qualitative classification of glaze layers based on OCT image features

      Type of glazeSample
      Glass phase dominant type glaze layerBQ-18-1, BQ-18-3, BQ-18-4, BQ-18-5, BQ-18-6, BQ-18-8,BQ-36-1, BQ-36-2, BQ-36-3, BQ-36-4, BQ-36-5
      Non-uniform scattering type glaze layerBQ-15-3, BQ-16-1, BQ-16-2, BQ-16-3, BQ-16-5, BQ-18-2, BQ-18-7
      Homogeneous scattering type glaze layerBQ-8-1, BQ-8-2, BQ-8-3, BQ-8-4, BQ-8-5, BQ-8-6, BQ-15-1,BQ-15-2, BQ-15-4, BQ-15-5, BQ-16-4
    • Table 3. Characteristic parameters of OCT images of extracted glaze layer based on gray-level co-occurrence matrixand Gabor wavelet transformation

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      Table 3. Characteristic parameters of OCT images of extracted glaze layer based on gray-level co-occurrence matrixand Gabor wavelet transformation

      SampleParameter of gray-level co-occurrence matrixParameter of Gabor wavelet transformation
      CfCMASEMeanContrastEntropy
      BQ-8-140.222.350.078.060.00464.42970.5799
      BQ-8-241.892.670.137.790.00474.11940.6101
      BQ-8-350.722.480.058.460.00464.31100.5756
      BQ-8-441.832.500.048.580.00444.22490.4955
      BQ-8-540.622.660.287.100.00483.98080.6513
      BQ-8-629.192.600.167.210.00453.40340.5116
      BQ-15-144.082.500.197.460.00473.74010.6366
      BQ-15-242.532.110.058.230.00443.74850.4975
      BQ-15-352.812.340.247.260.00494.35800.7215
      BQ-15-437.182.480.237.150.00484.40160.6887
      BQ-15-540.502.610.167.510.00463.81440.5853
      BQ-16-146.422.470.606.190.00525.59590.8193
      BQ-16-255.402.360.197.580.00495.16710.6936
      BQ-16-357.862.380.277.440.00515.42860.7834
      BQ-16-447.912.270.137.840.00463.63210.6063
      BQ-16-553.042.270.307.130.00484.91040.6832
      BQ-18-137.852.861.594.280.00599.46390.9894
      BQ-18-261.062.400.476.740.00525.94950.8346
      BQ-18-340.942.691.155.130.00567.68980.9191
      BQ-18-448.112.690.875.750.00547.38670.8486
      BQ-18-554.202.690.815.910.00557.71610.9124
      BQ-18-650.902.731.045.390.00578.24660.9790
      BQ-18-758.172.560.377.120.00547.44400.8660
      BQ-18-831.332.821.953.580.006010.36411.0708
      BQ-36-135.392.751.654.080.006010.66811.0295
      BQ-36-237.372.891.334.680.005710.53000.9409
      BQ-36-343.032.711.993.450.006616.10191.2208
      BQ-36-427.402.892.013.470.006111.98181.0349
      BQ-36-530.562.791.823.850.006010.28861.0315
    • Table 4. Variance and contribution proportion of PCA

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      Table 4. Variance and contribution proportion of PCA

      PrincipalcomponentVarianceVarianceproportion /%Accumulation/%
      PC15.58379.75979.759
      PC21.02514.64394.402
      PC30.2733.90298.604
      PC40.0741.06399.667
      PC50.0160.22399.890
      PC60.0070.09899.987
      PC70.0010.013100.000
    • Table 5. Quantitative analysis results of chemical composition for porcelain glaze (mass fraction)%

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      Table 5. Quantitative analysis results of chemical composition for porcelain glaze (mass fraction)%

      SampleNa2OMgOAl2O3SiO2K2OCaOTiO2Fe2O3n(Si/Al)RO+R2O
      BQ-8-11.011.6811.5473.054.306.450.201.5910.7613.44
      BQ-8-20.791.9210.8771.913.509.270.181.3411.2415.48
      BQ-8-30.761.7511.1172.773.758.460.161.0811.1314.72
      BQ-8-40.741.8311.6471.174.788.120.211.2110.3915.47
      BQ-8-51.171.7911.4971.923.868.530.200.8910.6415.35
      BQ-8-60.751.849.8871.722.7411.220.131.5012.3416.55
      BQ-15-10.971.8611.0770.894.868.320.181.6410.8916.01
      BQ-15-20.951.9312.8867.913.1410.470.182.368.9616.49
      BQ-15-31.421.7214.6769.535.005.910.141.428.0614.05
      BQ-15-40.561.689.8875.133.667.790.150.9712.9313.69
      BQ-15-50.471.5310.7269.694.649.980.202.5411.0516.62
      BQ-16-10.921.7613.8768.734.678.360.141.338.4215.71
      BQ-16-21.321.6514.0467.503.879.420.181.848.1716.26
      BQ-16-30.961.9414.6267.003.969.680.121.517.7916.54
      BQ-16-40.591.6511.7472.642.458.460.172.1510.5213.15
      BQ-16-51.271.6615.5868.674.326.210.231.897.4913.46
      BQ-18-11.301.4813.4173.664.863.510.191.439.3411.15
      BQ-18-20.981.4212.8170.614.827.840.151.189.3715.06
      BQ-18-31.821.4914.7070.605.024.840.161.208.1713.17
      BQ-18-41.091.5513.6573.904.254.430.130.849.2011.32
      BQ-18-501.1912.3072.615.006.980.161.5710.0413.17
      BQ-18-61.841.3613.9972.744.654.230.170.868.8412.08
      BQ-18-70.841.4612.3175.593.984.340.151.1710.4410.62
      BQ-18-81.361.5614.1070.784.546.000.151.358.5313.46
      BQ-36-10.741.3113.7173.204.884.490.161.349.0711.42
      BQ-36-20.301.3913.1069.873.758.940.142.289.0714.38
      BQ-36-30.861.4814.1566.673.4611.150.181.918.0116.95
      BQ-36-40.781.4012.7270.924.317.910.141.649.4814.40
      BQ-36-50.041.4710.9977.253.284.620.261.9511.959.41
    • Table 6. SEM-EDS component test results of typical samples obtained (mass fraction)%

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      Table 6. SEM-EDS component test results of typical samples obtained (mass fraction)%

      SampleTest areaONaMgAlSiPCaFeTiSCuPossible phase
      BQ-8-4Area 148.190.910.626.9732.224.503.872.71n.dn.dn.dGlass
      BQ-8-4Area 249.98n.dn.d3.8629.383.693.171.18n.dn.dn.dGlass
      BQ-8-4Spot 142.601.531.019.3421.043.102.3518.360.67n.dn.dIron crystal
      BQ-18-2Area 149.43n.dn.dn.d50.57n.dn.dn.dn.dn.dn.dSiO2
      BQ-18-2Spot 139.88n.dn.dn.d0.7715.8439.69n.dn.dn.dn.dCa3(PO4)2
      BQ-16-5Spot 138.460.960.266.6724.872.110.8424.671.16n.dn.dIron crystal
      BQ-16-3Spot 145.40n.dn.dn.dn.dn.dn.dn.d52.19n.dn.dTiO2
      BQ-16-6Spot 150.48n.dn.d4.9544.56n.dn.dn.dn.dn.dn.dSiO2
      BQ-16-6Spot 237.16n.d1.468.111.02n.dn.d15.4334.60n.dn.dTiO2
      BQ-15-3Spot 11.22n.dn.dn.dn.dn.dn.dn.dn.d1.7897.00Cu
      BQ-15-3Spot 242.12n.d1.641.588.8613.891.4028.83n.dn.d1.50Ca3(PO4)2
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    Zhong Danxia, Guo Musen, Hu Yongqing, Liu Song, Dong Junqing, Li Qinghui. Microstructures of Ancient Porcelains Based on Optical Coherence Tomography[J]. Chinese Journal of Lasers, 2018, 45(1): 104001

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    Paper Information

    Category: Measurement and metrology

    Received: Jul. 13, 2017

    Accepted: --

    Published Online: Jan. 24, 2018

    The Author Email: Danxia Zhong (15356634101@163.com)

    DOI:10.3788/CJL201845.0104001

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