Laser & Optoelectronics Progress, Volume. 56, Issue 16, 162801(2019)
Regularization of Point Cloud Features by Fusing Improved Canny Algorithm
Fig. 1. Flow chart of algorithm
Fig. 2. Point cloud rasterization assignment
Fig. 3. Determination of projection direction
Fig. 4. Average grayscale of grids
Fig. 5. Eight neighborhood search assignment
Fig. 6. Comparison of different algorithms for sculptural 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
Fig. 8. Comparison of different algorithms for column 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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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
Category: Remote Sensing and Sensors
Received: Jan. 28, 2019
Accepted: Mar. 12, 2019
Published Online: Aug. 5, 2019
The Author Email: Chen Xijiang (cxj_0421@163.com)