计算机与数字工程2019，Vol.47Issue(6)：1482-1486,1554,6.DOI:10.3969/j.issn.1672-9722.2019.06.040
基于图像处理的磨削件表面粗糙度在线检测研究
On-line Surface Roughness Detection of Grinding Parts Based on Machine Vision Technology
摘要
Abstract
Aiming at the off-line and non-real-time performance of the surface roughness of grinding parts,an on-line detec?tion method of surface roughness of grinding parts based on machine vision technology is proposed. Due to the relative movement be?tween the workpiece and the imaging device,the image is blurred. Based on the degenerate model of motion blurred image,the noise residuals in the iterative process of the iterative blind deconvolution algorithm are obtained by using the iterative blind decon?volution algorithm and the regularization process. The parameter estimation of the extended function of the motion blurred image points is given. And the sharp image is obtained by using the point sharpness function. The gray scale difference statistic method based on Gabor wavelet transform is used to analyze the texture of the clear image. The experimental results show the relationship be?tween the three texture parameters and the surface roughness of the second moment and the entropy of the contrast,and the feasibili?ty of the on-line detection method of the surface roughness of the grinding tool based on the machine vision technology is verified.关键词
表面粗糙度/图像去模糊/在线检测/图像处理Key words
surface roughness/image de-blur/on-line detection/machine vision分类
信息技术与安全科学引用本文复制引用
衷雪莲,李郝林..基于图像处理的磨削件表面粗糙度在线检测研究[J].计算机与数字工程,2019,47(6):1482-1486,1554,6.基金项目
上海市科学技术委员会科研基金项目(编号:17DZ2283300)资助. （编号:17DZ2283300）
