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The Scientific World Journal
Volume 2014, Article ID 176718, 16 pages
http://dx.doi.org/10.1155/2014/176718
Research Article

Improved Bat Algorithm Applied to Multilevel Image Thresholding

1Faculty of Mathematics, University of Sarajevo, 71000 Sarajevo, Bosnia And Herzegovina
2Faculty of Computer Science, Megatrend University Belgrade, 11070 Belgrade, Serbia

Received 25 April 2014; Accepted 28 June 2014; Published 3 August 2014

Academic Editor: Xin-She Yang

Copyright © 2014 Adis Alihodzic and Milan Tuba. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [49 citations]

The following is the list of published articles that have cited the current article.

  • Milan Tuba, and Nebojsa Bacanin, “Hybridized bat algorithm for multi-objective radio frequency identification (RFID) network planning,” 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 499–506, . View at Publisher · View at Google Scholar
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  • Milan Tuba, Nebojsa Bacanin, and Adis Alihodzic, “Multilevel image thresholding by fireworks algorithm,” 2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA), pp. 326–330, . View at Publisher · View at Google Scholar
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  • Marko Lukic, Eva Tuba, and Milan Tuba, “Leaf recognition algorithm using support vector machine with Hu moments and local binary patterns,” 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 000485–000490, . View at Publisher · View at Google Scholar
  • Uros Mlakar, Janez Brest, and Iztok Fister, “A study of chaotic maps in differential evolution applied to gray-level image thresholding,” 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8, . View at Publisher · View at Google Scholar
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  • Iztok Fister, Xin-She Yang, Simon Fong, and Yan Zhuang, “Bat algorithm: Recent advances,” CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings, pp. 163–167, 2014. View at Publisher · View at Google Scholar
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  • Milan Tuba, Adis Alihodzic, and Nebojsa Bacanin, “Cuckoo search and bat algorithm applied to training feed-forward neural networks,” Studies in Computational Intelligence, vol. 585, pp. 139–162, 2015. View at Publisher · View at Google Scholar
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  • Eva Tuba, Dana Simian, and Milan Tuba, “Adjusted bat algorithm for tuning of support vector machine parameters,” 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 2225–2232, 2016. View at Publisher · View at Google Scholar
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  • Eva Tuba, Milan Tuba, Dana Simian, and Raka Jovanovic, “JPEG Quantization Table Optimization by Guided Fireworks Algorithm,” Combinatorial Image Analysis, vol. 10256, pp. 294–307, 2017. View at Publisher · View at Google Scholar
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  • Adis Alihodzic, “Training Feed-Forward Neural Networks Employing Improved Bat Algorithm for Digital Image Compression,” Large-Scale Scientific Computing, vol. 10665, pp. 315–323, 2018. View at Publisher · View at Google Scholar
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