CAJ | 학술논문

以定时器极片检测为背景,研究薄片工业件的尺寸和缺陷特征机器视觉自动检测技术,并开发了相应的在线实时视觉检测系统.利用最大类间方差法计算最佳区域分割阈值,实现了二值化.检测长度、角度及圆度等尺寸特征和双面铁锈等缺陷特征,完成了薄片件的视觉检测.以可编程控制器为核心,设计了不良品的剔除系统,实现了不良品自动分拣.
이정시기겁편검측위배경,연구박편공업건적척촌화결함특정궤기시각자동검측기술,병개발료상응적재선실시시각검측계통.이용최대류간방차법계산최가구역분할역치,실현료이치화.검측장도、각도급원도등척촌특정화쌍면철수등결함특정,완성료박편건적시각검측.이가편정공제기위핵심,설계료불량품적척제계통,실현료불량품자동분간.
The dimensional and defective features were detected automatically by using machine vision for the timer piece. The realtime online detection system was designed by applying image processing technology. The optimal threshold was calculated by OTSU to the binarization. The vision detection was achieved by measuring length,angle and roundness and recognizing defection. The eliminating system controlled by PLC was implemented to sort the defective pieces.