机械制造与自动化Issue(4)：5-7,23,4.
一种基于模糊C均值和均值滤波的点云去噪算法
Point Clouds De-noise Algorithm Based on Fuzzy C-means and Mean Filter
摘要
Abstract
Because noise exists in point cloud algorithm, the different treating methods are adopted in the algorithms. Though this method can be used to denoise, over-smoothing coursed by general de-nosing algorithm is cut off too. This paper presents a three-dimension point clouds de-noising algorithm combined with fuzzy-c-means( FCM) , mean filtering. The large-scale noise is cut off by the improved fuzzy-c-means and the smal-scale noise is smoothed by the improved mean filter. Experimental results show that this approach can be used to reserve boundary feature and effectively de-noise. Meanwhile, the problem of over-smoothing of point cloud is effectively avoided.关键词
模糊C均值/点云/均值滤波/去噪Key words
fuzzy-c-means/point clouds/mean filtering/de-nosing分类
机械制造引用本文复制引用
许龙,黄翔,李根..一种基于模糊C均值和均值滤波的点云去噪算法[J].机械制造与自动化,2016,(4):5-7,23,4.基金项目
国家自然科学基金(51275234) （51275234）
