摘要
用傅里叶变换轮廓术测量复杂物体形状时,频谱能量分布弥散,出现频率混叠现象,滤波时难以确定截止频率。选用了3种频域滤波窗以及小波滤波4种滤波方法对傅里叶变换轮廓术中的变形光栅图进行处理,计算机模拟并比较了在有噪声和无噪声的情况下不同滤波方法的误差分布。数据分析表明,选用合适的小波基对信号进行滤波处理比其余3种滤波器的测量精度要高。
In Fourier transform profilometry, the frequency is dispersed and confused when detecting complex objects. It is difficult to filter out the inutility information and determine the cut-off frequency. The wavelet filtration method and three frequency domain filtering windows were chosen to analyze the raster pattern of FTP when noise exists and does not exist, The error distributions without noise and with noise were given. The results show that the measuring accuracy is higher using wavelet transform than that obtained by the frequency domain filtering window.
出处
《中国石油大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第6期92-97,共6页
Journal of China University of Petroleum(Edition of Natural Science)
关键词
傅里叶变换轮廓术
滤波
小波变换
测量精度
Fourier transform profilometry
filtering
wavelet transform
measuring accuracy
作者简介
任旭虎（1973-），男（汉族），山西闻喜人，副教授，博士研究生，主要从事信号处理、机电一体化应用研究。
