基于机器视觉的工业品色差检测系统  

Industrial Products Chromatic Aberration Detection System Based on Machine Vision

作　　者：黄虎[1] 程建[1] 蒲恬[1] 

机构地区：[1]电子科技大学电子工程学院,四川成都611731

出　　处：《兵工自动化》2010年第7期78-80,共3页Ordnance Industry Automation

基　　金：电子科技大学青年科技基金重点项目(NO.JX0804);中国博士后科学基金(20080441198)

摘　　要：为了消除人眼在产品检测中的主观差异,采用机器视觉的方法对工业品进行色差检测。通过工业CCD相机采集均匀光照下的产品与标准色板的图像,使用色差检测系统对图像进行色差计算,最后比较色差与用户设置的阈值来判断产品颜色是否合格。其中,色差检测使用了CIEDE2000色差公式,该公式可以正确的反映微小的颜色差异。实验结果表明:检测结果与人眼检测结果相符,证明了这种方法在实际应用中的可行性。In order to eliminate subjective differences in product detected by human eyes, machine vision was used in chromatic aberration detection of industrial products. Chromatic aberration detection system was used to compute chromatic aberration between product appearance and standard color board. The images contain product and standard color board were captured through industrial CCD camera under uniform illumination. At last, compare chromatic aberration with threshold to determine whether the product is up to standard. The system uses CIEDE2000 color difference formula which can reflect minor differences in color correctly. The experiment results indicate that the testing result has a good consistance with human eyes and the feasibility of this method is proved.

关 键 词：机器视觉 色差 产品外观 CIEDE2000 

分 类 号：TP306.3[自动化与计算机技术—计算机系统结构] TP391.41[自动化与计算机技术—计算机科学与技术]