基于小波变换的散乱点数据处理方法  

A Method of Data Processing for Scattered Points Based on Wavelet Transform

作　　者：肖文生[1] 胡雅俊[1] 

机构地区：[1]同济大学计算机系,上海201804

出　　处：《计算机与现代化》2008年第1期15-18,共4页Computer and Modernization

摘　　要：散乱点数据处理在科学可视化研究、逆向工程、计算机视觉等领域有广泛应用。本文根据小波变换的基本原理和多维小波变换算法,设计了一种基于小波变换的散乱点数据处理方法。通过对散乱点的分层处理,将图像视频的三维小波变换应用于散乱点。在满足后期可视化显示要求的基础上,按照需要约减表示细节的高频子带,可应用于三维可视化数据的前期处理方面。Data processing for scattered points is widely used in science visualization, reverse engineering, computer vision, etc. This paper designs a method of data processing for scattered points based on wavelet transform, according to high dimension wavelet transform algorithm. By delaminating for scattered points, the paper applies video 3D wavelet transform to scattered points. According to requirement to reducing high frequency, and based on meeting visualization display demand this method is suited to scatter points data pre-processing.

关 键 词：散乱点数据 小波变换 三维小波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]