中文摘要：

在传统高斯滤波理论的基础上,提出稳健高斯滤波算法,引入M估计中的权函数对高斯滤波进行稳健处理,并结合高斯滤波逼近理论,在高斯滤波稳健算法基础上,构建高斯滤波的算法模型和零件表面形貌特征模型。利用MALTAB软件编程和仿真模拟系统,模拟出零件表面原始轮廓信号,并采用simulink系统仿真设计出FIR型数字高斯滤波器。将原始轮廓信号通过高斯滤波器,通过一次有效滤波分离提取出零件表面的粗糙度信号和滤波中线,实现高斯滤波的过程,提取粗糙度信息来评定零件表面质量。

英文摘要：

Based on the traditional Gauss filter theory, it proposed robust high speed filtering algorithm,M estimation was introduced to robust the weight function of the Gaussian filter, and approximation theory was combined with Gauss filter,according to the parts of the surface morphology, calculated the model of Gauss filter and the surface morphology model of Parts. Used MATLAB software programming and simulation system to simulate the original signal of the parts contour surface,simulated and designed the FIR type digital Gauss filter. Outlined the original signal by Gaussian filter, through an effective filter to extract the surface roughness signal of the parts and the filter midline signal,to realize the process of Gaussian filtering, and extracted roughness information to assess the surface quality of the parts.