Laser & Optoelectronics Progress, Volume. 56, Issue 11, 111506(2019)

Point Cloud Edge-Extraction Algorithm Based on Gaussian Map Clustering

Yunlong Su* and Xueliang Ping**
Author Affiliations
  • Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    Figures & Tables(5)
    Flow chart of agglomerative clustering algorithm
    Comparison of extracted teapot edge point clouds. (a) Extracted teapot edge by improved algorithm; (b) extracted teapot edge by original algorithm
    Comparison of extracted phone edge point clouds. (a) Extracted phone edge by improved algorithm; (b) extracted phone edge by original algorithm; (c) partial enlargement of extracted edge by improved algorithm; (d) partial enlargement of extracted edge by original algorithm
    • Table 1. Comparison of extraction effects of teapot edge points between traditional Gaussian clustering algorithm and improved algorithm

      View table

      Table 1. Comparison of extraction effects of teapot edge points between traditional Gaussian clustering algorithm and improved algorithm

      AlgorithmSearchingradius /mmExtractededge pointRunningtime /s
      Original3010220.87
      Improved3024830.61
    • Table 2. Comparison of extraction effects of telephone edge points between traditional Gaussian clustering algorithm and improved algorithm

      View table

      Table 2. Comparison of extraction effects of telephone edge points between traditional Gaussian clustering algorithm and improved algorithm

      AlgorithmSearchingradius /mmExtractededge pointRunningtime /s
      Original25420321.21
      Improved25633210.89
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    Yunlong Su, Xueliang Ping. Point Cloud Edge-Extraction Algorithm Based on Gaussian Map Clustering[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111506

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    Paper Information

    Category: Machine Vision

    Received: Nov. 30, 2018

    Accepted: Jan. 7, 2019

    Published Online: Jun. 13, 2019

    The Author Email: Yunlong Su (1870679495@qq.com), Xueliang Ping (ping@jiangnan.edu.cn)

    DOI:10.3788/LOP56.111506

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