An Adaptive Image Enhancement Technique by Combining Cuckoo Search and Particle Swarm Optimization Algorithm
المؤلفون المشاركون
Ye, Zhiwei
Wang, Mingwei
Hu, Zhengbing
Liu, Wei
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-02-15
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Image enhancement is an important procedure of image processing and analysis.
This paper presents a new technique using a modified measure and blending of cuckoo search and particle swarm optimization (CS-PSO) for low contrast images to enhance image adaptively.
In this way, contrast enhancement is obtained by global transformation of the input intensities; it employs incomplete Beta function as the transformation function and a novel criterion for measuring image quality considering three factors which are threshold, entropy value, and gray-level probability density of the image.
The enhancement process is a nonlinear optimization problem with several constraints.
CS-PSO is utilized to maximize the objective fitness criterion in order to enhance the contrast and detail in an image by adapting the parameters of a novel extension to a local enhancement technique.
The performance of the proposed method has been compared with other existing techniques such as linear contrast stretching, histogram equalization, and evolutionary computing based image enhancement methods like backtracking search algorithm, differential search algorithm, genetic algorithm, and particle swarm optimization in terms of processing time and image quality.
Experimental results demonstrate that the proposed method is robust and adaptive and exhibits the better performance than other methods involved in the paper.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ye, Zhiwei& Wang, Mingwei& Hu, Zhengbing& Liu, Wei. 2015. An Adaptive Image Enhancement Technique by Combining Cuckoo Search and Particle Swarm Optimization Algorithm. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057763
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ye, Zhiwei…[et al.]. An Adaptive Image Enhancement Technique by Combining Cuckoo Search and Particle Swarm Optimization Algorithm. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057763
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ye, Zhiwei& Wang, Mingwei& Hu, Zhengbing& Liu, Wei. An Adaptive Image Enhancement Technique by Combining Cuckoo Search and Particle Swarm Optimization Algorithm. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057763
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057763
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