A Comparative Study of Improved Artificial Bee Colony Algorithms Applied to Multilevel Image Thresholding

المؤلفون المشاركون

Chiewchanwattana, Sirapat
Sunat, Khamron
Charansiriphaisan, Kanjana

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-17، 17ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-12-28

دولة النشر

مصر

عدد الصفحات

17

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Multilevel thresholding is a highly useful tool for the application of image segmentation.

Otsu’s method, a common exhaustive search for finding optimal thresholds, involves a high computational cost.

There has been a lot of recent research into various meta-heuristic searches in the area of optimization research.

This paper analyses and discusses using a family of artificial bee colony algorithms, namely, the standard ABC, ABC/best/1, ABC/best/2, IABC/best/1, IABC/rand/1, and CABC, and some particle swarm optimization-based algorithms for searching multilevel thresholding.

The strategy for an onlooker bee to select an employee bee was modified to serve our purposes.

The metric measures, which are used to compare the algorithms, are the maximum number of function calls, successful rate, and successful performance.

The ranking was performed by Friedman ranks.

The experimental results showed that IABC/best/1 outperformed the other techniques when all of them were applied to multilevel image thresholding.

Furthermore, the experiments confirmed that IABC/best/1 is a simple, general, and high performance algorithm.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Charansiriphaisan, Kanjana& Chiewchanwattana, Sirapat& Sunat, Khamron. 2013. A Comparative Study of Improved Artificial Bee Colony Algorithms Applied to Multilevel Image Thresholding. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-1011188

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Charansiriphaisan, Kanjana…[et al.]. A Comparative Study of Improved Artificial Bee Colony Algorithms Applied to Multilevel Image Thresholding. Mathematical Problems in Engineering No. 2013 (2013), pp.1-17.
https://search.emarefa.net/detail/BIM-1011188

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Charansiriphaisan, Kanjana& Chiewchanwattana, Sirapat& Sunat, Khamron. A Comparative Study of Improved Artificial Bee Colony Algorithms Applied to Multilevel Image Thresholding. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-1011188

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1011188