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Laser & Optoelectronics Progress, Volume. 56, Issue 16, 162801(2019)

Regularization of Point Cloud Features by Fusing Improved Canny Algorithm

Qiaoqiao Yuan, Guang Zhang, Xijiang Chen*, and Weiqing Xu
Author Affiliations
  • School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (0)
    References (20)
    Cited By (6)
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    Figures & Tables(10)
    Flow chart of algorithm

    Fig. 1. Flow chart of algorithm

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    Point cloud rasterization assignment

    Fig. 2. Point cloud rasterization assignment

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    Determination of projection direction

    Fig. 3. Determination of projection direction

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    Average grayscale of grids

    Fig. 4. Average grayscale of grids

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    Eight neighborhood search assignment

    Fig. 5. Eight neighborhood search assignment

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    Comparison of different algorithms for sculptural regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

    Fig. 6. Comparison of different algorithms for sculptural regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

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    Comparison of different algorithms for window regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

    Fig. 7. Comparison of different algorithms for window regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

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    Comparison of different algorithms for column regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

    Fig. 8. Comparison of different algorithms for column regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

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    Comparison of different algorithms for dragon boundary regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

    Fig. 9. Comparison of different algorithms for dragon boundary regularization. (a) Original point cloud; (b) proposed algorithm; (c) traditional Canny algorithm; (d) 8N-DD algorithm

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    • Table 1. Comparison of feature regularization and running time of sculpture model in Fig. 6

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      Table 1. Comparison of feature regularization and running time of sculpture model in Fig. 6

      AlgorithmOriginal point cloudExtracted pointsBoundary pointsRunning time /s
      Algorithm in this paper267122316726158205.0001
      Traditional Canny algorithm2671223246061702110.0227
      8N-DD algorithm267122318716134129.9472
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    Qiaoqiao Yuan, Guang Zhang, Xijiang Chen, Weiqing Xu. Regularization of Point Cloud Features by Fusing Improved Canny Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(16): 162801

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 28, 2019

    Accepted: Mar. 12, 2019

    Published Online: Aug. 5, 2019

    The Author Email: Xijiang Chen (cxj_0421@163.com)

    DOI:10.3788/LOP56.162801

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology