摘要
高速高效生产是碳性电池的以后生产发展方向,而干电池封口胶质量直接影响干电池的寿命以及运输安全。利用机器视觉可以很好地检测封口胶质量,在生产线上获取的图像含有多个图像特征,无法使用单一阈值分割图像,在对比了多种阈值分割方法后,给出了一种较为理想的图像分割方案。
High-speed and high-efficiency production is the development direction of carbon battery, and the quality of the sealing compound has a direct impact on carbon battery＇s life and transort safety. It：s reliable for computer vision to detect the quality of sealing compound. The problem is that the single threshold algorithm can not segment the images acquired from production line. After contrast to the various threshold segmentation approaches, an ideal way to segment images is presented.
出处
《现代电子技术》
2011年第13期162-164,共3页
Modern Electronics Technique
基金
广东省教育部产学研结合项目:图元数字化检测与高速自动化电池生产线(2010B090400531)
广东省工业攻关项目:基于视觉的SMT模板自动检测设备研发(2009B010900017)
关键词
机器视觉
图像分割
二值化处理
干电池
computer vision
image segmentation
binaryzation processing
dry battery
