A Novel Approach for Foreign Substances Detection in Injection Using Clustering and Frame Difference

Sensors

Guiliang Lu²  Yu Zhou¹  Yao Yu¹ 

[1] School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu, China; E-Mail

关键词: computer vision;    detection of foreign substances;    clustering;    frame difference;   

DOI  :  10.3390/s111009121

来源: mdpi

【 摘 要 】

This paper focuses on developing a novel technique based on machine vision for detection of foreign substances in injections. Mechanical control yields spin/stop movement of injections which helps to cause relative movement between foreign substances in liquid and an ampoule bottle. Foreign substances are classified into two categories: subsiding-slowly object and subsiding-fast object. A sequence of frames are captured by a camera and used to recognize foreign substances. After image preprocessing like noise reduction and motion detection, two different methods, Moving-object Clustering (MC) and Frame Difference, are proposed to detect the two categories respectively. MC is operated to cluster subsiding-slowly foreign substances, based on the invariant features of those objects. Frame Difference is defined to calculate the difference between two frames due to the change of subsiding-fast objects. 200 ampoule samples filled with injection are tested and the experimental result indicates that the approach can detect the visible foreign substances effectively.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.