以规避船舶航行风险为目的，研究基于图像处理技术的船舶航行环境可视化方法。该方法利用激光雷达和摄像机捕捉船舶和其航行环境激光点云图像后，使用Kd-Tree算法对图像实施预处理，以预处理后的云图像为基础，利用图像处理技术中的虚拟现实技术建立船舶三维模型，以及航行数学模型，获得航行参数。同时绘制海面并建立海浪模型和建立航行环境，再依据船舶航行参数以及海浪参数，通过虚拟现实软件基于船舶三维模型，实现航行环境可视化。实验结果表明，该种方法具备较好的船舶激光点云图像预处理能力，构建船舶三维模型较为逼真，可有效实现航行环境可视化。
In order to avoid the risk of ship navigation, the visualization method of ship navigation environment based on image processing technology is studied. After the laser point cloud image of the ship and its sailing environment is captured by lidar and camera, the image is preprocessed by Kd-Tree algorithm. Based on the preprocessed laser point cloud image of the ship and its sailing environment, the 3D model of the ship and the mathematical model of the ship sailing are established by using virtual reality technology in the image processing technology. The ship navigation parameters are obtained by using the ship navigation mathematical model, and the ship navigation environment is established by drawing the sea surface and building the wave model. Then, based on the ship navigation parameters and wave parameters, the ship navigation environment is visualized by virtual reality software based on the ship three-dimensional model. The experimental results show that this method has a good ability of ship laser point cloud image preprocessing, the construction of ship three-dimensional model is more realistic, and can effectively realize the visualization of ship sailing environment.
2023,45(13): 150-153 收稿日期：2023-02-22
DOI：10.3404/j.issn.1672-7649.2023.13.030
分类号：TP391
作者简介：殷庆飞(1978-)，男，硕士，副教授，研究方向为视觉传达设计等
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