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A Novel Approach for Foreign Substances Detection in Injection Using Clustering and Frame Difference
- Source :
- Sensors, Vol 11, Iss 10, Pp 9121-9135 (2011)
- Publication Year :
- 2011
- Publisher :
- MDPI AG, 2011.
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 11
- Issue :
- 10
- Database :
- Directory of Open Access Journals
- Journal :
- Sensors
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2cf047bf67d44e0093c37e867d1a39a9
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/s111009121