表面微缺陷形态小波提取方法研究  

Study of surface micro-cracks extraction based on morphological wavelet transform

作　　者：吕晶晶[1] 吴立群[1] 徐瑞芬[1] 

机构地区：[1]杭州电子科技大学机械工程学院,浙江杭州310018

出　　处：《机电工程》2008年第12期103-107,共5页Journal of Mechanical & Electrical Engineering

摘　　要：为了解决小波由于不具有平移不变性而在处理信号时出现畸变效应的问题,在提升小波变换的基础上,结合形态小波和冗余变换的优点,构造了冗余提升形态小波,解决了提升小波变换在信号处理过程中的畸变效应;并选用极大值冗余提升形态Haar小波,使用模拟数据进行了数据处理实验。数据处理试验结果表明,冗余提升形态小波具有平移不变性的特点。Aiming at resolving the distortion effects on the process of signal processing, using lifting wavelet transform which doesn＇ t have the character of translation-invariance, the redundancy lifting morphological wavelet transform was developed, with the advantages of morphological wavelet and redundancy lifting transform based on the lifting wavelet transform. The maximum redundancy lifting morphological Haar wavelet was selected, and simulation data for the experimental signal processing was used. The test results indicate that the redundancy lifting morphological wavelet transform has the character of translation-invariance.

关 键 词：提升方案 形态小波 平移不变性 HAAR小波 

分 类 号：TH161.14[机械工程—机械制造及自动化]