北京测绘2023，Vol.37Issue(9)：1209-1213,5.DOI:10.19580/j.cnki.1007-3000.2023.09.001
基于Otsu算法与改进区域生长算法的道路点云提取
Road point cloud extraction based on Otsu agorithm and improved region growth method
王亮1
作者信息
- 1. 太原市测绘研究院,山西 太原 030002
- 折叠
摘要
Abstract
In view of the difficulties in classification of road point cloud data obtained by vehicular laser scanning,this paper proposed a road surface extraction method based on Otsu algorithm and improved region growth algorithm.The filtering of non-ground points in the original point cloud depended on Otsu algorithm to adaptively calculate the segmentation threshold;Then calculate the normal vector and curvature of the point cloud respectively;Finally,the normal vector similarity wsa used as a constraint condition,and the improved region growth algorithm was applied to extract the road surface accurately.Taking the point cloud data of two typical urban roads as an example,The test results showed that the accuracy CR,integrity CP and extraction quality Q of the road surface results extracted by this method were more than 94％,which fully proved the effectiveness of this method.关键词
激光扫描技术/点云/道路面/滤波/改进区域生长Key words
laser scanning technology/point cloud/road surface/wave filtering/improve area growth分类
天文与地球科学引用本文复制引用
王亮..基于Otsu算法与改进区域生长算法的道路点云提取[J].北京测绘,2023,37(9):1209-1213,5.
