Optics and Precision Engineering, Volume. 29, Issue 10, 2517(2021)

Crack detection and segmentation in CT images using Hessian matrix and support vector machine

Yong-ning ZOU1...2,*, Zhi-bin ZHANG1,2, Qi LI1,2, and Hao-song YU12 |Show fewer author(s)
Author Affiliations
  • 1College of Optoelectronic Engineering, Chongqing University, Chongqing400044, China
  • 2ICT Research Center, Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing400044, China
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    Figures & Tables(11)
    Simple separation problem
    Image pre-processing
    Typical industrial CT images
    Partial sample CT images
    Filtering results after morphological operation
    Automatic threshold segmentation results
    Partial of sub-images
    Recognition results of different features
    Segmentation results of different algorithms
    Model generalization ability and robustness verification
    • Table 1. Statistical table of different object on recognition rate

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      Table 1. Statistical table of different object on recognition rate

      实验对象总子图数正确识别数识别率/%
      石油岩心27025895.56
      钢轨27025393.70
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    Yong-ning ZOU, Zhi-bin ZHANG, Qi LI, Hao-song YU. Crack detection and segmentation in CT images using Hessian matrix and support vector machine[J]. Optics and Precision Engineering, 2021, 29(10): 2517

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    Paper Information

    Category: Information Sciences

    Received: May. 27, 2021

    Accepted: --

    Published Online: Nov. 23, 2021

    The Author Email: ZOU Yong-ning (zynlxu@sina.com)

    DOI:10.37188/OPE.2021.0349

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