A “Tuned” Mask Learnt Approach Based on Gravitational Search Algorithm
المؤلفون المشاركون
Wang, Mingwei
Lai, Xudong
Wan, Youchuan
Ye, Zhiwei
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-19
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Texture image classification is an important topic in many applications in machine vision and image analysis.
Texture feature extracted from the original texture image by using “Tuned” mask is one of the simplest and most effective methods.
However, hill climbing based training methods could not acquire the satisfying mask at a time; on the other hand, some commonly used evolutionary algorithms like genetic algorithm (GA) and particle swarm optimization (PSO) easily fall into the local optimum.
A novel approach for texture image classification exemplified with recognition of residential area is detailed in the paper.
In the proposed approach, “Tuned” mask is viewed as a constrained optimization problem and the optimal “Tuned” mask is acquired by maximizing the texture energy via a newly proposed gravitational search algorithm (GSA).
The optimal “Tuned” mask is achieved through the convergence of GSA.
The proposed approach has been, respectively, tested on some public texture and remote sensing images.
The results are then compared with that of GA, PSO, honey-bee mating optimization (HBMO), and artificial immune algorithm (AIA).
Moreover, feature extracted by Gabor wavelet is also utilized to make a further comparison.
Experimental results show that the proposed method is robust and adaptive and exhibits better performance than other methods involved in the paper in terms of fitness value and classification accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wan, Youchuan& Wang, Mingwei& Ye, Zhiwei& Lai, Xudong. 2016. A “Tuned” Mask Learnt Approach Based on Gravitational Search Algorithm. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1099782
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wan, Youchuan…[et al.]. A “Tuned” Mask Learnt Approach Based on Gravitational Search Algorithm. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1099782
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wan, Youchuan& Wang, Mingwei& Ye, Zhiwei& Lai, Xudong. A “Tuned” Mask Learnt Approach Based on Gravitational Search Algorithm. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1099782
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099782
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