OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 22, Issue 6, 86(2024)

3D Point Cloud Segmentation Algorithm Using in Depth Defect Detection of Ice Cream Board

LIU Yue1, BAI Fu-zhong1, and LI Ping2
Author Affiliations
  • 1School of Mechanical Engineering,Inner Mongolia University of Technology,Hohhot 010051,China
  • 2Beijing Polytechnic College,Beijing 100042,China
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    References(5)

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    [13] [13] XU S, WANG R, WANG H, et al. Plane segmentation based on the optimal-vector-field in LiDAR point clouds [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020,(99):1-1.

    [14] [14] Awrangjeb M, Fraser C S. An automatic and threshold-free performance evaluation system for building extraction techniques from airborne LiDAR data [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(10):184-4198.

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    LIU Yue, BAI Fu-zhong, LI Ping. 3D Point Cloud Segmentation Algorithm Using in Depth Defect Detection of Ice Cream Board[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2024, 22(6): 86

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    Paper Information

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    Received: Jul. 15, 2024

    Accepted: Jan. 21, 2025

    Published Online: Jan. 21, 2025

    The Author Email:

    DOI:

    CSTR:32186.14.

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