基于机器视觉的零件颜色识别系统  

Components Color Recognition System Based on Machine Vision

作　　者：张小洁[1] 张文新[2] 

机构地区：[1]陕西工业职业技术学院电气工程学院,陕西咸阳712000 [2]中国人民解放军96512部队,陕西宝鸡721000

出　　处：《陕西工业职业技术学院学报》2012年第3期17-19,23,共4页Journal of Shaanxi Polytechnic Institute

摘　　要：应用Visual C＋＋6．0作为软件开发平台，以开源的OpenCV作为辅助的图像处理库，并组建系统的硬件系统．实现了对工业自动生产线上的零件图像的采集和处理，并能对不同颜色的零件进行识别，为后续零件的筛选和分类奠定了基础。经实验证明，采用机器视觉对零件颜色进行在线识别，不但检测精度高，而且能够满足生产线上实时性的要求。Applying the Visual C ＋ ＋ 6.0 as software development platform and the OpenCV as assisted cessing library, and the hardware system was built, the industry automatic production line components lecting and processing were achieved, different the next screening and classifying. It is proved online recognition has high detection precision color of components can be recongnized and establishing image pro-image col-the base for by experiment that using machine vision recognizing component color and can meet the real-time requirements of the production line.

关 键 词：机器视觉 颜色识别 阈值 二值化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]