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基于区域生长的体素滤波点云去噪算法
作者姓名:蒋通  邹进贵
作者单位:武汉大学测绘学院 ,湖北 武汉 ,430079;武汉大学精密工程与工业测量国家测绘地理信息局重点实验室 ,湖北 武汉 ,430079
基金项目:国家自然科学基金(41871373)。
摘    要:介绍了一种基于区域生长的体素滤波点云去噪算法。首先,使用体素滤波算法将点云数据体素化后,根据每个网格与最大密度网格的比值大小,将网格分为两类:大密度网格、小密度网格。然后对大密度网格使用区域生长法处理。最后,对全部数据进行区域生长处理。实验结果表明,该方法能够消除大、小尺度噪声,并且能够消除簇状噪声,且不改变点云的纹理信息。

关 键 词:区域生长  体素滤波  点云去噪

Point Cloud Denoising Algorithm of Voxel Filtering Based on Region Growing
Authors:JIANG Tong  ZOU Jingui
Institution:(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;Key Laborary of Precise Engineering and Industry Surveying,National Administration of Surveying,Mapping and Geoinformation,Wuhan University,Wuhan 430079,China)
Abstract:This paper introduces a new method of denoising.Firstly,this paper uses voxel filter algorithm to voxelize the point cloud data.Then the grid is divided into two categories according to the ratio of each grid and the maximum density grid:large density grid and small density grid.Next,use region growing algorithm to deal with large density grid.Finally,all data are processed by region growing algorithm.The experimental results prove that this method can decrease large and small scale noises,and it can also remove cluster noises without changing texture information of point cloud.
Keywords:region growing  voxel filtering  point cloud denoising
本文献已被 CNKI 维普 万方数据 等数据库收录!
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