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Lab VIEW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。
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 .
出处
《传感器世界》
2015年第4期37-40,共4页
Sensor World
基金
西南科技大学大学生创新基金项目(项目编号:CX14-075)
关键词
机器视觉
图像处理
鸡蛋表面
质量检测
Machine Visions
images processing
egg surface
quality detection
