Image Tracking for the High Similarity Drug Tablets Based on Light Intensity Reflective Energy and Artificial Neural Network
Joint Authors
Liang, Zhongwei
Liu, Xiaochu
Wang, Xiaogang
Zhou, Liang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-17
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
It is obvious that tablet image tracking exerts a notable influence on the efficiency and reliability of high-speed drug mass production, and, simultaneously, it also emerges as a big difficult problem and targeted focus during production monitoring in recent years, due to the high similarity shape and random position distribution of those objectives to be searched for.
For the purpose of tracking tablets accurately in random distribution, through using surface fitting approach and transitional vector determination, the calibrated surface of light intensity reflective energy can be established, describing the shape topology and topography details of objective tablet.
On this basis, the mathematical properties of these established surfaces have been proposed, and thereafter artificial neural network (ANN) has been employed for classifying those moving targeted tablets by recognizing their different surface properties; therefore, the instantaneous coordinate positions of those drug tablets on one image frame can then be determined.
By repeating identical pattern recognition on the next image frame, the real-time movements of objective tablet templates were successfully tracked in sequence.
This paper provides reliable references and new research ideas for the real-time objective tracking in the case of drug production practices.
American Psychological Association (APA)
Liang, Zhongwei& Zhou, Liang& Liu, Xiaochu& Wang, Xiaogang. 2014. Image Tracking for the High Similarity Drug Tablets Based on Light Intensity Reflective Energy and Artificial Neural Network. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-461886
Modern Language Association (MLA)
Liang, Zhongwei…[et al.]. Image Tracking for the High Similarity Drug Tablets Based on Light Intensity Reflective Energy and Artificial Neural Network. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-461886
American Medical Association (AMA)
Liang, Zhongwei& Zhou, Liang& Liu, Xiaochu& Wang, Xiaogang. Image Tracking for the High Similarity Drug Tablets Based on Light Intensity Reflective Energy and Artificial Neural Network. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-461886
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461886