铝合金精密锻件图像测量的方法  

Image measurement of precision aluminum alloy forgings

作　　者：陈英[1] 夏昀[1] 边翊 钟志平 

机构地区：[1]中国农业大学工学院,北京100083 [2]机科发展科技股份有限公司,北京100083

出　　处：《塑性工程学报》2010年第6期77-81,共5页Journal of Plasticity Engineering

基　　金：中央高校基本科研业务费专项资金资助项目(2009JS12);"高档数控机床与基础制造装备"科技重大专项资助项目(2009ZX04014-071)

摘　　要：基于数字图像处理技术,开发了铝合金精密锻件尺寸测量装置,采用低角度双侧LED照明,有效避免锻件表面反光造成的图像边缘模糊。通过3×3中值滤波、固定阈值分割、8邻域边界跟踪算法,提取锻件内、外圆的边缘轮廓,采用最小二乘圆拟合算法进行尺寸参数计算。试验表明,外圆直径、内圆直径、壁厚差、圆度误差的图像测量值,较人工测量值的最大误差分别为0.05mm、0.09mm、0.07mm、0.07mm,基本满足锻件检测要求。A dimension measuring device for precision aluminium alloy forgings was developed based on digital image processing technology.In order to avoid image blurring caused by forging reflection,LED lighting on two sides of the forgings was used.Firstly,the captured images were preprocessed by 3×3 median filtering,fixed threshold and 8-neighborhood edge tracking to extract outer and inner boundaries of the forgings.Then the least square circle fitting algorithm was used to calculate dimension parameters.Experiments show that,compared to manual measuring,the maximum error of image measuring are 0.05mm for outer diameter,0.09mm for outer diameter,0.07mm for thickness difference,and 0.07mm for roundness error.The result show that image measuring method is feasible for precision forging measurement.

关 键 词：精密锻件 图像处理 图像测量 最小二乘法 圆拟合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]