板料零件应变测量的网格图像处理  

GRID IMAGE PROCESSING OF MATERIAL STAIN ANALYSIS

作　　者：宋少娜[1] 项辉宇[1] 

机构地区：[1]北京工商大学机械自动化学院,北京100048

出　　处：《北京工商大学学报（自然科学版）》2008年第5期17-21,共5页Journal of Beijing Technology and Business University:Natural Science Edition

基　　金：北京市教育委员会科技发展计划项目(KM200610011009);北京市优秀人才资助项目(20061D0500300138);北京市自然科学基金资助项目(3083018)

摘　　要：基于网格测量板料冲压零件拉延成形的面内应变分布和厚度变化,是进行冲压成形分析的一种有效手段.结合实例研究了视觉测量中的关键技术之一——网格图像处理主要步骤、理论及方法.结果表明采用图像处理技术能改善网格图像的视觉效果,提高图像的清晰度;突出图像中的有用信息,削弱干扰和噪声,强调边缘,从而将图像转换成了一种更适合人或机器进行解释和分析处理的形式,是视觉技术进行板料零件应变测量的必备基础.The grid based measurement of the distribution of in-plane principal strain and thickness variation of sheet metal stamped parts after drawing process is an effective way to perform sheet form- ing analysis. With one practice case, this paper studied one of the key technologies in vision measure- ment-the main method of grid image processing. The results indicates that using image processing technology can improve the effect of grid image, enhance definition; bring useful information into prominence, weaken disturbance and noise, emphasize fringe, so that it can convert the image more suitable for analyzing and processing by person or machine. The image processing is a necessary ele- ment of material strain analysis using computer vision processing technology.

关 键 词：冲压成形 网格图像 视觉测量 图像处理 

分 类 号：TH140[一般工业技术—材料科学与工程]