药品生产线瓶盖缝隙的视觉检测技术研究

结合药品生产线瓶盖缝隙检测的具体需求,提出一种视觉成像采集系统的筛选与设计思路以及在此基础上的视觉图像处理方法。分析了视觉图像信息采集系统与具体生产线需求的关系,确定了图像采集系统的参数,设计了透射式照明与成像采集系统架构。在获取视觉图像后,提出使用区域标记算法、canny边缘检测算法、黑白二值化算法等,自动寻找瓶盖区域并确定瓶盖缝隙的像素宽度,最终给出实际物理宽度。测试实验表明,该系统测量的准确率为100%,最大误差值为0.016 mm,最大误差百分比为2.73%,平均误差百分比为1.15/%。

Vision inspection for gap of cap in the drug production line

According to demand of gap detection of cap in drug production line, a method was proposed to solve the problem. The proposed method combined selection and design for visual imaging system, and the image processing algorithm based on the system. The relationship between visual image capture system and production line was analyzed. The authors determined the parameter of image capture system and designed the structure of transillumination and image acquisition system. After captured the image, region labeling algorithm, the canny edge detection algorithm, binary algorithm were used to automatically search the cap area and calculate the width of pixels of the gap. Finally, the actual physical width was obtained from the pixels width. The experimental results demonstrate that the accuracy of the propose method is 100%, and the maximal error is 0.016mm. The results also give out that the maximal error in percent is 2.73%, and the average error is 1.115%.