Computing with Biologically Inspired Neural Oscillators : Application to Colour Image Segmentation
المؤلفون المشاركون
Ghani, Arfan
Maguire, Liam
McDaid, Liam
Belatreche, Ammar
McGinnity, Martin
المصدر
Advances in Artificial Intelligence
العدد
المجلد 2010، العدد 2010 (31 ديسمبر/كانون الأول 2010)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2010-05-12
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
علوم
الملخص EN
This paper investigates the computing capabilities and potential applications of neural oscillators, a biologically inspired neural model, to grey scale and colour image segmentation, an important task in image understanding and object recognition.
A proposed neural system that exploits the synergy between neural oscillators and Kohonen self-organising maps (SOMs) is presented.
It consists of a two-dimensional grid of neural oscillators which are locally connected through excitatory connections and globally connected to a common inhibitor.
Each neuron is mapped to a pixel of the input image and existing objects, represented by homogenous areas, are temporally segmented through synchronisation of the activity of neural oscillators that are mapped to pixels of the same object.
Self-organising maps form the basis of a colour reduction system whose output is fed to a 2D grid of neural oscillators for temporal correlation-based object segmentation.
Both chromatic and local spatial features are used.
The system is simulated in Matlab and its demonstration on real world colour images shows promising results and the emergence of a new bioinspired approach for colour image segmentation.
The paper concludes with a discussion of the performance of the proposed system and its comparison with traditional image segmentation approaches.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Belatreche, Ammar& Maguire, Liam& McGinnity, Martin& McDaid, Liam& Ghani, Arfan. 2010. Computing with Biologically Inspired Neural Oscillators : Application to Colour Image Segmentation. Advances in Artificial Intelligence،Vol. 2010, no. 2010, pp.1-21.
https://search.emarefa.net/detail/BIM-469433
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Belatreche, Ammar…[et al.]. Computing with Biologically Inspired Neural Oscillators : Application to Colour Image Segmentation. Advances in Artificial Intelligence No. 2010 (2010), pp.1-21.
https://search.emarefa.net/detail/BIM-469433
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Belatreche, Ammar& Maguire, Liam& McGinnity, Martin& McDaid, Liam& Ghani, Arfan. Computing with Biologically Inspired Neural Oscillators : Application to Colour Image Segmentation. Advances in Artificial Intelligence. 2010. Vol. 2010, no. 2010, pp.1-21.
https://search.emarefa.net/detail/BIM-469433
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-469433
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