Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 7, 891(2022)

Experimental research on automatic object extraction from CT image based on information entropy

Chun-yu CHEN1, Ying-cong HUANG1,2,4,5,6、*, Qiang WANG7, Guang-rong LI1, and Yue-shun HE2,3,5
Author Affiliations
  • 1School of Earth Sciences,East China University of Technology,Nanchang 330013,China
  • 2Network and Information Center,East China University of Technology,Nanchang 330013,China
  • 3College of Information Engineering,East China University of Technology,Nanchang 330013,China
  • 4Jiangxi Provincial Key Laboratory of Digital Land,Nanchang 330013,China
  • 5Jiangxi Provincial Engineering Laboratory of Radiology Big Data Technology,Nanchang 330013,China
  • 6State Key Laboratory of Nuclear Resources and Environment,Nanchang 330013,China
  • 7Institute of Vertebrate Paleontology and Paleoanthropology,Chinese Academy of Sciences,Beijing 100044,China
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    Figures & Tables(12)
    Raw images.(a)Slice 704;(b)Slice 1 668;(c)Slice 2 595.
    Images after manual separation.(a)Slice 704;(b)Slice 1 668;(c)Slice 2 595.
    Schematic diagram of intelligent target extraction technology
    Information entropy statistical histogram
    Segmentation threshold statistical histogram
    The first segment of the original images and the separated images.(a),(b),(c)Original image;(d),(e),(f)Separated image.
    The middle part of the original images and the separated images.(a),(b),(c)Original image;(d),(e),(f)Separated image.
    The last part of the original images and the separated images.(a),(b),(c)Original image;(d),(e),(f)Separated image.
    • Table 1. Training results of information entropy parameters

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      Table 1. Training results of information entropy parameters

      样号分割阈值信息熵
      7041520.65
      1 668900.54
      2 5951400.43
    • Table 2. Frequency distribution of information entropy results

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      Table 2. Frequency distribution of information entropy results

      信息熵频次信息熵频次信息熵频次
      0.4330.51260.59217
      0.44140.52540.6236
      0.45290.53450.61223
      0.46200.54990.62186
      0.47260.551290.63124
      0.48180.561560.6476
      0.49170.571760.6515
      0.5260.58202总计2 117
    • Table 3. Frequency distribution of segmentation threshold results

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      Table 3. Frequency distribution of segmentation threshold results

      分割阈值频次分割阈值频次分割阈值频次分割阈值频次
      66294481211514831
      67295771221614932
      68196851231315020
      70297981241615117
      7169873125815211
      72399881261315315
      731100591272015411
      744101441281915516
      752102571291215610
      765103561301715711
      77910441131515813
      783105251322315910
      793106261331516012
      804107431341116114
      816108321351616210
      82110919136101635
      83611029137101644
      84511116138251655
      851011223139251663
      86811317140301693
      871211420141281701
      881611523142261742
      891411618143261752
      901711722144401781
      912011821145361862
      922911913146311881
      93361201514734总计2 117
    • Table 4. Image results after different positions separation

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      Table 4. Image results after different positions separation

      位置样号分割阈值信息熵信息熵均值
      前段5201410.560.59
      6681470.61
      7701010.60
      中段1 5261040.600.60
      1 655950.59
      1 7311250.60
      后段2 3221080.530.51
      2 4811400.53
      2 5761440.47
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    Chun-yu CHEN, Ying-cong HUANG, Qiang WANG, Guang-rong LI, Yue-shun HE. Experimental research on automatic object extraction from CT image based on information entropy[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(7): 891

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    Paper Information

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    Received: Dec. 27, 2021

    Accepted: --

    Published Online: Jul. 7, 2022

    The Author Email: Ying-cong HUANG (5828516@qq.com)

    DOI:10.37188/CJLCD.2021-0343

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