基于计算机视觉的鸡蛋污斑检测  

Dirt detection on brown eggs based on computer vision

作　　者：屠康[1] 潘磊庆[1] 杨佳丽[1] 苏子鹏[1] 于雪[1] 

机构地区：[1]南京农业大学食品科技学院,江苏南京210095

出　　处：《江苏大学学报（自然科学版）》2007年第3期189-192,共4页Journal of Jiangsu University：Natural Science Edition

基　　金：国家自然科学基金资助项目(30371050);教育部"新世纪优秀人才支持计划"资助项目(NCET-05-0491);江苏省自然科学基金资助项目(BK2006707-2)

摘　　要：针对传统人工检测鸡蛋表面污斑方法由于效率较低,且易造成视觉疲劳等缺点,已不能满足现代化工业生产需要的问题,建立了利用计算机视觉检测鸡蛋表面污斑的装置,通过计算机视觉采集鸡蛋表面的图像,然后对图像进行处理分析,提取特征参数,建立污斑识别算法,检测鸡蛋表面的污斑.通过验证,该识别算法分级污斑鸡蛋和干净鸡蛋的准确率达到92.7%,受试鸡蛋总体分级准确率达到90%以上,实现了对鸡蛋表面污斑的无损检测.The traditional artificial method of examining dirty spot of egg shells has unavoidable disadvantages. For example, the workers＇ subjectivity and vision tiredness easily lead to low accuracy, thus can not satisfy the demand of the modern industry production. A device of detecting egg dirty spot by using computer vision was built up. The image of egg shell surface was captured, then the images were processed and analyzed. The algorithm and the way of classification were set up based on characteristic parameters obtained from the images. The results showed that the rate of detecting dirty eggs could reach 92.7%. The accuracy of classifying total eggs could exceed 90%, and the automatic detection of egg dirt can be realized.

关 键 词：鸡蛋污斑 计算机视觉 检测 图像处理 

分 类 号：TP274.3[自动化与计算机技术—检测技术与自动化装置] S879.3[自动化与计算机技术—控制科学与工程]