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Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection
المؤلفون المشاركون
Liu, Dujin
Wang, Huajun
Wang, Sen
Pu, Guolin
Deng, Xiaoya
Hou, Xiang
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-02
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
As the color remote sensing image has the most notable features such as huge amount of data, rich image details, and the containing of too much noise, the edge detection becomes a grave challenge in processing of remote sensing image data.
To explore a possible solution to the urgent problem, in this paper, we first introduced the quaternion into the representation of color image.
In this way, a color can be represented and analyzed as a single entity.
Then a novel artificial bee colony method named improved artificial bee colony which can improve the performance of conventional artificial bee colony was proposed.
In this method, in order to balance the exploration and the exploitation, two new search equations were presented to generate candidate solutions in the employed bee phase and the onlookers phase, respectively.
Additionally, some more reasonable artificial bee colony parameters were proposed to improve the performance of the artificial bee colony.
Then we applied the proposed method to the quaternion vectors to perform the edge detection of color remote sensing image.
Experimental results show that our method can get a better edge detection effect than other methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Dujin& Wang, Huajun& Wang, Sen& Pu, Guolin& Deng, Xiaoya& Hou, Xiang. 2015. Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072980
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Dujin…[et al.]. Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1072980
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Dujin& Wang, Huajun& Wang, Sen& Pu, Guolin& Deng, Xiaoya& Hou, Xiang. Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072980
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1072980
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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