注：西南科技大学大学生创新基金项目（项目编号：CX14-075）
作者：徐春梅1，向思帆2，陈艺2
单位：1.西南科技大学工程训练中心,四川绵阳 621010;
      2.西南科技大学制造科学与工程学院,四川绵阳 621010
中图分类号：TP311     
文献标识码：B     
文章编号：1006-883X（2015）04-0037-04
收稿日期：2015-03-05

摘要：设计了一个简单的鸡蛋表面质量检测系统。系统通过USB摄像头采集图像，利用噪声过滤和二值化等方法对图像进行预处理，再经过设定阀值、目标分割等步骤，利用LabVIEW软件中视觉工具分析得到鸡蛋的中心坐标值、长轴、短轴和蛋形指数等，最终实现鸡蛋表面质量分级。实验结果证明，通过此种方法研制的鸡蛋表面质量检测系统具有高效率、低成本、易操作的特点，能够替代传统人工筛选，实现鸡蛋质量表面的检测，具有良好的应用前景。
关键词：机器视觉；图像处理；鸡蛋表面；质量检测

A simple egg surface quality detection system
XU Chun-mei1, XIANG Si-fan2, CHEN Yi2
1.Engineering Training Center, Southwest University of Science and Technology, Mianyang 621010, China; 2. Manufacturing Science and Engineering Institute, Southwest University of Science and Technology,  Mianyang 621010, China
Abstract: A simple egg surface quality detection system is designed in this paper. The egg graphics are captured by USB camera, and pre-processed with noise filtering and binaryzation algorithms, etc. After the steps like threshold setting and multi-target segmentation, the Vision tools of  LabVIEW are used to get the center coordinate, long axis, short axis and egg shape index of an egg, thus egg quality classification is implemented. The experiment results show that this egg surface quality detection system is effective, inexpensive, and easy to work, which can be a substitute scheme of traditional hand-operation, and has a good application foreground.
Keywords: Machine Visions; images processing; egg surface; quality detection

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备注：2015年 第21卷 第4期