摘要
目的提高包装药品效率,保证包装过程的正确率和安全性。方法在充分研究药品包装生产线现状的基础上,将机器视觉应用于药品包装生产线药品的自动检测,采用基于最大熵阈值,设计一种图像分割方法;同时采用自适应高斯引导图像滤波算法,设计一种图像去噪算法。结果通过实验验证,该系统可以实现药品包装生产线的自动检测,并能自动剔除不合格药品,保证生产安全。结论研究的药品包装生产线自动检测系统具有自动化程度高、效率高的优点,具有广阔的市场应用前景。
In order to improve the efficiency and accuracy of drug packaging and ensure the safety of drug production. On the basis of full study of the present situation of drugs packaging production line, machine vision is applied to automatic detection of drugs in pharmaceutical packaging production line. Based on the maximum entropy threshold, an image segmentation method is designed. At the same time, adaptive gaussian guided image filtering algorithm is adopted to design an image denoising algorithm. Through the algorithm simulation and experiment verification, this system can realize the automatic detection of the drug packaging production line, and can automatically eliminate the unqualified drugs and ensure the production safety. The automatic detection system of the drug production line in the paper has the advantages of high automation and high efficiency, and has a broad market application prospect.
作者
李姿景
LI Zi-jing(Huanghe Science and Technology College, Zhengzhou 450000, China)
出处
《包装工程》
CAS
北大核心
2018年第17期165-169,共5页
Packaging Engineering
基金
郑州市光电信息技术及应用重点实验室(114PYFZX505)
关键词
机器视觉
药品包装
检测
图像去噪
阈值分割
machine vision
drug packaging
detection
image denoising
threshold segmentation
