A Novel Approach for Foreign Substances Detection in Injection Using Clustering and Frame Difference
AbstractThis 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.
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Lu, G.; Zhou, Y.; Yu, Y.; Du, S. A Novel Approach for Foreign Substances Detection in Injection Using Clustering and Frame Difference. Sensors 2011, 11, 9121-9135.
Lu G, Zhou Y, Yu Y, Du S. A Novel Approach for Foreign Substances Detection in Injection Using Clustering and Frame Difference. Sensors. 2011; 11(10):9121-9135.Chicago/Turabian Style
Lu, Guiliang; Zhou, Yu; Yu, Yao; Du, Sidan. 2011. "A Novel Approach for Foreign Substances Detection in Injection Using Clustering and Frame Difference." Sensors 11, no. 10: 9121-9135.