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A Novel Approach for Foreign Substances Detection in Injection Using Clustering and Frame Difference.
- Source :
- Sensors (14248220); 2011, Vol. 11 Issue 10, p9121-9135, 15p, 2 Color Photographs, 1 Black and White Photograph, 2 Diagrams, 5 Charts, 4 Graphs
- Publication Year :
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 11
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Sensors (14248220)
- Publication Type :
- Academic Journal
- Accession number :
- 67612385
- Full Text :
- https://doi.org/10.3390/s111009121