[1]廖中平,白慧鹏,陈 立.基于双边滤波改进的点云平滑算法[J].计算机技术与发展,2019,29(11):42-46.[doi:10. 3969 / j. issn. 1673-629X. 2019. 11. 009]
　LIAO Zhong-ping,BAI Hui-peng,CHEN Li.Improved Denoising of Point-sampled Model Based on Bilateral Filtering[J].,2019,29(11):42-46.[doi:10. 3969 / j. issn. 1673-629X. 2019. 11. 009]
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基于双边滤波改进的点云平滑算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年11期
页码:
42-46
栏目:
智能、算法、系统工程
出版日期:
2019-11-10

文章信息/Info

Title:
Improved Denoising of Point-sampled Model Based on Bilateral Filtering
文章编号:
1673-629X(2019)11-0042-05
作者:
廖中平; 白慧鹏; 陈 立
长沙理工大学,湖南 长沙 410114
Author(s):
LIAO Zhong-ping; BAI Hui-peng; CHEN Li
Changsha University of Science and Technology,Changsha 410114,China
关键词:
点云; 法向改进; 双边滤波; 平滑; 特征保留
Keywords:
point cloud; normal improvement; bilateral filtering; smoothing; features retention
分类号:
TP391.41
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 11. 009
摘要:
针对目前传统双边滤波算法存在的不适应平滑孤立点及多次迭代易导致过度光顺点云特征等缺陷,提出在原有算法的基础上通过异向法矢平滑处理修正法向量以提高算法后续处理的精确性。 根据点云孤立点的特性,通过预先删除孤立点以提高双边滤波算法的效率。 根据近邻点法向趋于连续性分布的特点,计算待光顺点与其近邻点的法向夹角并与所设阈值进行比较从而确定近邻点对待平滑点的双边滤波因子,进而提高算法对点云几何特征的保持程度。 通过模拟的规整点云以及实地采集到的点云数据进行试验分析,并与传统的双边滤波算法对比给出评价结论。 实验结果表明,以上改进方法相对于传统的双边滤波算法在提高效率的同时不仅增强了算法的抗噪性,而且提高了特征保持度。
Abstract:
Aiming at the shortcomings of the current bilateral filter algorithm such as unadaptive smoothing outliers and excessive smoothing of the point cloud after multiple iterations,we propose to modify the normal based on the original algorithm to improve the accuracy of the subsequent processing of the algorithm. According to the characteristics of outliers,the efficiency of bilateral filtering algorithm is improved by removing outliers in advance. According to the characteristics of the close-to-continuity distribution of the nearest neighbors,the normal angles between the nearest neighbors are calculated and compared with the thresholds to determine the factor of bilateral filtering,which to improve the retention of the features. The experimental analysis is carried out by simulated point cloud and real point cloud data,and the evaluation conclusion is given by comparing with the traditional bilateral filtering algorithm. The results show that the above improved method not only enhances the anti-noise performance of the algorithm,but also improves the feature retention compared with the traditional bilateral filtering algorithm.

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更新日期/Last Update: 2019-11-10