截面点云排序的新方法

New method of sorting cross-sectional line point cloud

针对截面点云无规则排序而不能进行点云光顺处理的问题,提出一种最小距离区域识别(MA)算法,对截面特征点云进行排序处理和噪声点的识别。实例证明,MA算法稳定、准确,可以高效完成点云排序,同时MA算法对截面噪声点有很强的识别能力。

The unorganized point cloud can not be smoothed, In order to solve this problem, the paper proposed a Minimum distance Area （MA） algorithm to sort point cloud and to identify the noisy points of the section feature point cloud. MA algorithm is stable, accurate, and can efficiently complete point cloud sorting, and MA algorithm has a strong ability to identify the noisy points of the section line point cloud.