Object Boundary Detection Using Active Contour Model via Multiswarm PSO with Fuzzy-Rule Based Adaptation of Inertia Factor
المؤلفون المشاركون
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-20، 20ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-04
دولة النشر
مصر
عدد الصفحات
20
التخصصات الرئيسية
الملخص EN
Active contour models, colloquially known as snakes, are quite popular for several applications such as object boundary detection, image segmentation, object tracking, and classification via energy minimization.
While energy minimization may be accomplished using traditional optimization methods, approaches based on nature-inspired evolutionary algorithms have been developed in recent years.
One such evolutionary algorithm that has been used extensively in active contours is the particle swarm optimization (PSO).
However, conventional PSO converges slowly and gets trapped in local minimum easily which results in inaccurate detection of concavities in the object boundary.
This is taken care of by using proposed multiswarm PSO in which a swarm is set for every control point in the snake and then all the swarms search for their best points simultaneously through information sharing among them.
The performance of the multiswarm PSO-based search process is further enhanced by using dynamic adaptation of the inertia factor.
In this paper, we propose using a set of fuzzy rules to adjust the inertia weight on the basis of the current normalized snake energy and the current value of inertia.
Experimental results demonstrate the effectiveness of the proposed method compared to conventional approaches.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Khunteta, Ajay& Ghosh, D.. 2016. Object Boundary Detection Using Active Contour Model via Multiswarm PSO with Fuzzy-Rule Based Adaptation of Inertia Factor. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1095053
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Khunteta, Ajay& Ghosh, D.. Object Boundary Detection Using Active Contour Model via Multiswarm PSO with Fuzzy-Rule Based Adaptation of Inertia Factor. Advances in Fuzzy Systems No. 2016 (2016), pp.1-20.
https://search.emarefa.net/detail/BIM-1095053
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Khunteta, Ajay& Ghosh, D.. Object Boundary Detection Using Active Contour Model via Multiswarm PSO with Fuzzy-Rule Based Adaptation of Inertia Factor. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1095053
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095053
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