• Laser & Optoelectronics Progress
  • Vol. 56, Issue 16, 162801 (2019)
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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    DOI: 10.3788/LOP56.162801 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Flow chart of algorithm
    Fig. 1. Flow chart of algorithm
    Point cloud rasterization assignment
    Fig. 2. Point cloud rasterization assignment
    Determination of projection direction
    Fig. 3. Determination of projection direction
    Average grayscale of grids
    Fig. 4. Average grayscale of grids
    Eight neighborhood search assignment
    Fig. 5. Eight neighborhood search assignment
    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
    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
    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
    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
    AlgorithmOriginal point cloudExtracted pointsBoundary pointsRunning time /s
    Algorithm in this paper267122316726158205.0001
    Traditional Canny algorithm2671223246061702110.0227
    8N-DD algorithm267122318716134129.9472
    Table 1. Comparison of feature regularization and running time of sculpture model in Fig. 6
    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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