Image Tracking for the High Similarity Drug Tablets Based on Light Intensity Reflective Energy and Artificial Neural Network
المؤلفون المشاركون
Liang, Zhongwei
Liu, Xiaochu
Wang, Xiaogang
Zhou, Liang
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-17
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-461886
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر