基于多分辨率奇异值分解的表面滤波方法

中国机械工程

基于多分辨率奇异值分解的表面滤波方法

吴芬;黄美发;陈磊磊;吴常林

桂林电子科技大学，桂林，541004

出版日期:2016-07-10 发布日期:2016-07-12
基金资助:
国家自然科学基金资助项目(51365009)；桂林电子科技大学研究生教育创新计划资助项目(YJCXS201501)

A New Surface Filtering Technology Based on Multi-resolution Singular Value Decomposition

Wu Fen;Huang Meifa;Chen Leilei;Wu Changlin

Guilin University of Electronic Technology,Guilin,Guangxi,541004

Online:2016-07-10 Published:2016-07-12
Supported by:

摘要/Abstract

摘要： 针对目前表面滤波方法中存在边界效应、缺乏多尺度性和最优小波函数选择等问题，在一维多分辨率奇异值分解(MSVD)的基础上，构造出二维MSVD，并提出基于MSVD的表面滤波方法。该方法具有多尺度性，不存在边界效应，并且不需要选择小波函数。仿真实验和实测表面数据表明，该方法与目前表面滤波方法的滤波效果相一致，适用于表面工程的评定。

关键词: 表面形貌；多分辨率, 奇异值分解；表面滤波

Abstract: Recently, the way used to extract the surface evaluation reference existed some issues such as boundary effect，no multi-scale and the selection of wavelet basis function．Aimming at above problems，a theory called 1D multi-resolution singular value decomposition (MSVD) was introduced and a 2D MSVD was deduced．And a surface filtering method based on MSVD was provided according to the above theory．The filtering effectiveness has a good consistency with the existing surface filtering technology and this surface filtering is suitable to surface engineering evaluation．

Key words: surface morphology, multi-resolution, singular value decomposition(SVD), surface filtering

中图分类号:

TH161.14

吴芬, 黄美发, 陈磊磊, 吴常林. 基于多分辨率奇异值分解的表面滤波方法[J]. 中国机械工程.

Wu Fen, Huang Meifa, Chen Leilei, Wu Changlin. A New Surface Filtering Technology Based on Multi-resolution Singular Value Decomposition[J]. China Mechanical Engineering.

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