重型机械Issue(3)：23-28,6.
大型复杂锻铸件三维扫描点云数据去噪及光顺研究
Study on denoising and smoothing method of 3D-scaning point cloud data tothe large complex malleable cast parts
摘要
Abstract
Reverse engineering is the key part to obtain dimensions of complex parts for the processing of three-dimensional point cloud data of malleable cast parts.The key point is how to get the noiseless and smooth 3D point cloud from the scattered and multi-noise point cloud data.According to characteristics of noise points in the scattered cloud, this paper presents two methods: step-by-step denoising and smoothing method.First, the first kind of noise is removed by using grid threshold method.Second, the second kind of noise is removed by using virtual grid method.Finally, the above data is smoothed by using bilateral filtering method.The results show that the method not only removes the noisy points of 3D point cloud data, but also obtains a smooth measurement of surface and retains the characteristics of sharp features.关键词
三维激光扫描/数据处理/数据滤波/去噪/光顺/锻铸件Key words
3D laser scanning/data processing/data filtering/denoising/smoothing/malleable cast parts分类
天文与地球科学引用本文复制引用
郑鹏,霍洪旭,姜兴宇..大型复杂锻铸件三维扫描点云数据去噪及光顺研究[J].重型机械,2017,(3):23-28,6.基金项目
国家自然科学基金项目(NO51305279) （NO51305279）
