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Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding
المؤلفون المشاركون
Xu, Bin
Qi, Jin
Li, Linguo
Guo, Jian
Li, Shujing
Sun, Lijuan
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-03
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time.
The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution updating mechanism of the search agent by the weights.
Taking Kapur’s entropy as the optimized function and based on the discreteness of threshold in image segmentation, the paper firstly discretizes the grey wolf optimizer (GWO) and then proposes a new attack strategy by using the weight coefficient to replace the search formula for optimal solution used in the original algorithm.
The experimental results show that MDGWO can search out the optimal thresholds efficiently and precisely, which are very close to the result examined by exhaustive searches.
In comparison with the electromagnetism optimization (EMO), the differential evolution (DE), the Artifical Bee Colony (ABC), and the classical GWO, it is concluded that MDGWO has advantages over the latter four in terms of image segmentation quality and objective function values and their stability.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Linguo& Sun, Lijuan& Guo, Jian& Qi, Jin& Xu, Bin& Li, Shujing. 2017. Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1140891
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Linguo…[et al.]. Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1140891
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Linguo& Sun, Lijuan& Guo, Jian& Qi, Jin& Xu, Bin& Li, Shujing. Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1140891
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1140891
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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