[1]张中然,焦波,孙志勇,等.一般光照条件下铝塑泡罩药品包装检测系统[J].哈尔滨理工大学学报,2017,(05):65-69.[doi:10. 15938/j. jhust. 2017. 05. 012]
 ZHANG ZHong-ran,JIAO Bo,SUN Zhi-yong,et al.Detecting System for Pharmaceutical Aluminum-Plastic Blister Packaging under Common Lighting Conditions[J].哈尔滨理工大学学报,2017,(05):65-69.[doi:10. 15938/j. jhust. 2017. 05. 012]
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一般光照条件下铝塑泡罩药品包装检测系统()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2017年05期
页码:
65-69
栏目:
材料科学与工程
出版日期:
2017-12-30

文章信息/Info

Title:
Detecting System for Pharmaceutical Aluminum-Plastic Blister Packaging under Common Lighting Conditions
文章编号:
1007-2683(2017)05-0065-05
作者:
张中然 焦波 孙志勇 丁明娜
1. 哈尔滨理工大学 荣成学院,山东 荣成 264300; 2. 山东达因海洋生物制药股份有限公司,山东 荣成 264300
Author(s):
ZHANG ZHong-ran 1 JIAO Bo 1 SUN Zhi-yong 2 DING Ming-na 1
1. Rongcheng Campus,Harbin University of Science and Technology,Rongcheng 264300,China; 2. Shandong Dynemarine Biopharmaceutical Limited by Share Ltd,Rongcheng 264300,China
关键词:
药品包装检测图像分割图像处理
Keywords:
detection for medicine packaging image segmentation image processing
分类号:
TP216
DOI:
10. 15938/j. jhust. 2017. 05. 012
文献标志码:
A
摘要:
铝塑泡罩包装是目前主要的药品包装形式,其表面在不同的光照和拍摄角度下成像情况变化较大。为了解决包装过程中产生的漏粒问题,采用视觉在线检测技术代替传统人工检测,设计了目标区域分割算法,对不同尺寸、形状的铝塑泡罩包装的药品快速准确提取目标区域。针对实际检测中光照情况不稳定和药品包装表面复杂的反射情况,设计了图像分割算法,可在准确分辨药片位置。开发了基于 OpenCV 和 Qt 的视觉检测系统,并搭建实验平台,采用 30 万像素 200 帧摄像 机拍摄,图像检测速度在 150 ms 以内,能适应非白色药品的多种铝塑泡罩包装的检测。系统对照明要求低、适应性强。可以代替人工检测。
Abstract:
At present,aluminum-plastic blister packaging is the main method of pharmaceutical packaging,whose imaging changes greatly as the light or shooting angle varies on its surface. Therefore,the visual line-inspection technology,instead of traditional manual inspection,is adopted in this paper to solve the grain-leaking problem during the packaging process. An segmentation algorithm of target region is designed to precisely extract the target region of aluminum-plastic blister packaging with different sizes or shapes. At the same time,an image segmentation algorithm is designed to distinguish the position of tablets accurately under the unstable light and complicated surface reflections in the actual detection. And then,the visual inspection system based on Open CV and Qt has been developed. Using 200 million pixels 30-frame camera,an experiment platform has been set up, which can adapt to a variety of non-white pharmaceutical packaging of aluminum-plastic blister detection,as its image detection speed must be within 150m/s. Besides,the system has lower requirement for illumination and can replace manual inspection with its great adaptability.

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更新日期/Last Update: 2017-11-21