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

作者：Lu Guiliang; Zhou Yu^*; Yu Yao; Du Sidan

来源：Sensors, 2011, 11(10): 9121-9135.

DOI：10.3390/s111009121

• computer vision
• detection of foreign substances
• clustering
• frame difference

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.

• 出版日期2011-10
• 单位南京大学