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离散点云数据的小波变换处理算法 被引量：5

Method of Data Processing for Discrete Cloud Based on Wavelet Transform
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摘要 将离散点云数据表示成适合用作小波变换的形式,提出了一种基于尺度的离散点云数据的特征识别算法,在此基础上给出了具体的基于尺度的二维和三维离散点云的小波分解算法,最后引入实例对二维离散点云的小波分解算法进行分析,实验结果表明算法达到了对点云数据的按尺度特征分解的目的.通过提出的算法,将离散点云数据按照尺度进行分解并提取出不同的特征成分,这样可以根据后期可视化显示的不同要求,将小波变换分解后的数据进行进一步的处理. This paper presents a feature recognition algorithm for discrete cloud points based on dimension information and a detailed wavelet decomposition method for 2D and 3D discrete cloud points. 128 discrete points are adopted to analyze the algorithm,and it is found the result of this example meet the requirement for discrete cloud wavelet decomposition. The discrete cloud points are decomposed and different features are extracted according to its dimension information, and these decomposed data can be further processed to meet different visualization display requirement.
作者 郝泳涛 肖文生 胡雅俊
机构地区 同济大学CAD研究中心
出处 《同济大学学报（自然科学版）》 EI CAS CSCD 北大核心 2009年第5期674-679,共6页 Journal of Tongji University:Natural Science
关键词 数据处理 离散点云 小波变换 小波分解 data process discrete cloud wavelet transform wavelet decomposition
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献11

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共引文献11

同被引文献61

  • 1田胜利,周拥军,葛修润,卢允德.基于小波分解的建筑物变形监测数据处理[J].岩石力学与工程学报,2004,23(15):2639-2642. 被引量：30
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引证文献5

二级引证文献18

同济大学学报（自然科学版）
2009年 第5期

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