Volume 14 Number 4 (Apr. 2019)
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JSW 2019 Vol.14(4): 182-191 ISSN: 1796-217X
doi: 10.17706/jsw.14.4.182-191

Point Cloud Data Processing and Analysis for 3D Measurement of Ship Hull Plate

Guiyang Deng, Lianglun Cheng, Xiaoqing Dong
1 School of Automation, Guangdong University of Technology, Guangzhou, Guangdong, China.
2 School of Physics and Electronic Engineering, Hanshan Normal University, Chaozhou , Guangdong, China.

Abstract— In this paper, the 3Dmeasurement of the hull plate is used as the background.It analyzes the principle of laser three-dimensional scanning.The independent k-neighbor problem is considered to improve the method of law loss propagation adjustment,at point cloud data segmentation. It improves the K-neighbor point cloud data boundary feature extraction algorithm. A point cloud reduction algorithm based on K-d tree space partitioning and local curvature threshold is proposed, and the algorithm flow is given. Finally, the related algorithms are simulated and tested, and the results also verify the feasibility of the above method , meet the needs of hull plate measurement.

Index Terms—Hull Plate, 3D Measurement, Point Cloud data processing, K-d tree.


Cite: Guiyang Deng, Lianglun Cheng, Xiaoqing Dong, "Point Cloud Data Processing and Analysis for 3D Measurement of Ship Hull Plate," Journal of Software vol. 14, no. 4, pp. 182-191, 2019.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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