巴特沃思小波在表面形貌信号分离中的应用

张 浩; 袁怡宝; 张 峰

doi:10.3788/OPE.20101807.1661

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巴特沃思小波在表面形貌信号分离中的应用

信息科学 | 更新时间：2020-08-12

- 巴特沃思小波在表面形貌信号分离中的应用
- Application of Butterworth wavelet to surface topographic signal separation
- 光学精密工程 2010年18卷第7期页码：1661-1667
- 作者机构：
  
  哈尔滨工业大学电气与自动化学院,黑龙江哈尔滨,150001
- 作者简介：
- 基金信息：
  
  教育部留学回国人员科研基金资助项目(No.AEBQ24403704)()
- DOI：10.3788/OPE.20101807.1661
  中图分类号：
- 收稿日期：2009-09-07，
  
  修回日期：2009-11-17，
  
  网络出版日期：2010-07-30，
  
  纸质出版日期：2010-07-20
- 稿件说明：
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张浩, 袁怡宝, 张峰. 巴特沃思小波在表面形貌信号分离中的应用[J]. 光学精密工程, 2010,18(7): 1661-1667

ZHANG Hao, YUAN Yi-bao, ZHANG Feng. Application of Butterworth wavelet to surface topographic signal separation[J]. 光学精密工程, 2010,18(7): 1661-1667
张浩, 袁怡宝, 张峰. 巴特沃思小波在表面形貌信号分离中的应用[J]. 光学精密工程, 2010,18(7): 1661-1667 DOI： 10.3788/OPE.20101807.1661.

ZHANG Hao, YUAN Yi-bao, ZHANG Feng. Application of Butterworth wavelet to surface topographic signal separation[J]. 光学精密工程, 2010,18(7): 1661-1667 DOI： 10.3788/OPE.20101807.1661.

摘要

为了快速准确地分析工程表面

提出了一种基于巴特沃思小波的滤波方法。首先

讨论了小波滤波器的低通幅度传输特性

并以此作为选择适合表面形貌分析小波滤波器的依据。然后

介绍了巴特沃思小波滤波器的构造原理

并给出了它的快速实现算法;综合其优良的传输特性和高效的实现算法

以巴特沃思小波作为表面分析的滤波器

对实际表面轮廓进行了多层分解。最后

利用巴特沃思小波建立了表面轮廓评定的基准线

并给出了确定小波分解层数的方法。实验结果表明

巴特沃思小波能够快速准确地实现表面轮廓的多尺度分析

稳定可靠地提取表面中线;在普通计算机上提取11 200点数据表面中线仅耗时60 ms

利用该中线计算所得

值相对误差仅比利用高斯中线所得

值相对误差大0.12%。

Abstract

In order to analyze engineering surfaces fast and accurately

a new filtering approach based on Butterworth wavelet is proposed. Firstly

the transmission characteristic of a low-pass filter based on a wavelet is discussed

then it is taken as a primary reference to choose an appropriate wavelet base for surface analysis. The construction principle of the Butterworth wavelet filter is briefly introduced

and a fast algorithm for implementing this filter is illuminated. By combining the eminent transmission characteristic and efficient algorithm

the Butterworth wavelet is selected as the analyzing filter to decompose the surface profile with arbitrary orders. Finally

the Butterworth wavelet is also applied to calculating the reference line for profile evaluation and to offering a method to determine decomposed orders. The experimental results indicate that the Butterworth wavelet can achieve the multi-scale analysis of surface profile quickly and accurately and can extract its mean line reliably. The total calculation of this extraction for 11 200 data points only costs 60 ms by general PC and the relative error of

obtained by this extracted mean line is only 0.12% larger than the result by Gaussian filter.

关键词

Keywords

references

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