Optics and Precision Engineering, Volume. 32, Issue 19, 2957(2024)

Rotating point cloud segmentation and reverse reconstruction based on computed tomography images

Huihong WEI... Yongning ZOU*, Qian QIN and Junyao WANG |Show fewer author(s)
Author Affiliations
  • College of Optoelectronic Engineering, Chongqing University, Chongqing400000, China
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    Figures & Tables(18)
    Framework of two-stage point cloud segmentation algorithm
    Point cloud slices perpendicular to principal axis and parallel to each other
    Distribution of point normal for different types of surfaces
    Merging of slices of same type
    Schematic diagram of sub-point cloud feature classification
    Merging sub point clouds
    Parametric representation of surfaces
    Geometry-topology tree
    CT detection system
    Detection object
    Nozzle
    Exploded view of point cloud segmentation
    Comparison of segmentation results of different methods
    Sub point cloud display of segmentation results
    Metrics comparison of sub point clouds segmented by different methods
    Nozzle reconstruction
    • Table 1. Experimental parameters of CT scanning

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      Table 1. Experimental parameters of CT scanning

      参 数
      管电压/kV150
      管电流/μA40
      探测器尺寸/pixel1 024×1 024
      探测器单元尺寸/mm0.1
      源到目标距离/mm100
      源到探测器距离/mm500
    • Table 2. Nozzle evaluation parameters

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      Table 2. Nozzle evaluation parameters

      MethodPrecisionRecallF1IoU
      RANSAC0.928 70.958 20.939 60.889 6
      RG0.748 80.856 80.756 80.638 3
      BF0.852 90.854 40.823 90.723 4
      PASS0.926 30.951 60.931 60.879 7
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    Huihong WEI, Yongning ZOU, Qian QIN, Junyao WANG. Rotating point cloud segmentation and reverse reconstruction based on computed tomography images[J]. Optics and Precision Engineering, 2024, 32(19): 2957

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    Paper Information

    Category:

    Received: Jul. 5, 2024

    Accepted: --

    Published Online: Jan. 9, 2025

    The Author Email: ZOU Yongning (zynlxu@sina.com)

    DOI:10.37188/OPE.20243219.2957

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