基于VFW的鸡蛋图像采集与品质识别  

Research on Capturing Picture of Egg and Quality Identifying Based on VFW

作　　者：祝志慧[1] 文友先[1] 

机构地区：[1]华中农业大学工学院,武汉430070

出　　处：《湖北农业科学》2010年第10期2551-2553,共3页Hubei Agricultural Sciences

基　　金：国家星火计划项目(2001EA760026);湖北省重点科技攻关项目(2002P0603);湖北省重点新产品计划项目(2005BDS043)

摘　　要：利用Windows平台下的视频应用程序和应用程序编程接口,采集鸡蛋图像,并对采集的图像进行去噪、边缘检测、特征值提取等处理;然后由模式识别,判别出被检蛋品质(重量和新鲜度)等级。试验结果表明,基于VFW的试验装置检测蛋重测量误差在(-0.9g,+0.9g)之间。白壳蛋新鲜度检测准确率为86.5%,褐壳蛋新鲜度检测准确率为83.6%,基本能满足检测要求。In this paper, video software and the application program interface （API） were applied in capture the egg picture. The grade of eggs （weight and fresh degree） were detected by the mode of software after noise elimination, edge examination and characteristic value withdraw. The results obtained from the trial device on VFW showed that the weight error margin of egg was between-0.9 g and 0.9 g. The fresh accurate rates of white and brown hull were 86.5% and 83.6% respectively, which could basically meet the egg test requirements.

关 键 词：鸡蛋 品质 VFW 图像处理 

分 类 号：TP274.4[自动化与计算机技术—检测技术与自动化装置]