Multithreshold Segmentation Based on Artificial Immune Systems
المؤلفون المشاركون
Zaldivar, Daniel
Cuevas, Erik
Osuna-Enciso, Valentin
Sossa, Humberto
Pérez-Cisneros, Marco
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-20، 20ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-07-05
دولة النشر
مصر
عدد الصفحات
20
التخصصات الرئيسية
الملخص EN
Bio-inspired computing has lately demonstrated its usefulness with remarkable contributions to shape detection, optimization, and classification in pattern recognition.
Similarly, multithreshold selection has become a critical step for image analysis and computer vision sparking considerable efforts to design an optimal multi-threshold estimator.
This paper presents an algorithm for multi-threshold segmentation which is based on the artificial immune systems(AIS) technique, also known as theclonal selection algorithm (CSA).
It follows the clonal selection principle (CSP) from the human immune system which basically generates a response according to the relationship between antigens (Ag), that is, patterns to be recognized and antibodies (Ab), that is, possible solutions.
In our approach, the 1D histogram of one image is approximated through a Gaussian mixture model whose parameters are calculated through CSA.
Each Gaussian function represents a pixel class and therefore a thresholding point.
Unlike the expectation-maximization (EM) algorithm, the CSA-based method shows a fast convergence and a low sensitivity to initial conditions.
Remarkably, it also improves complex time-consuming computations commonly required by gradient-based methods.
Experimental evidence demonstrates a successful automatic multi-threshold selection based on CSA, comparing its performance to the aforementioned well-known algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cuevas, Erik& Osuna-Enciso, Valentin& Zaldivar, Daniel& Pérez-Cisneros, Marco& Sossa, Humberto. 2012. Multithreshold Segmentation Based on Artificial Immune Systems. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1029814
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cuevas, Erik…[et al.]. Multithreshold Segmentation Based on Artificial Immune Systems. Mathematical Problems in Engineering No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-1029814
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cuevas, Erik& Osuna-Enciso, Valentin& Zaldivar, Daniel& Pérez-Cisneros, Marco& Sossa, Humberto. Multithreshold Segmentation Based on Artificial Immune Systems. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1029814
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1029814
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