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Image Segmentation with Improved Artificial Fish Swarm Algorithm

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Proceedings of the European Computing Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 28))

Abstract

Some improved adaptive methods about step length are proposed in the Artificial Fish Swarm Algorithm (AFSA), which is a new heuristic intelligent optimization algorithm. The experimental results show that proposed methods have better performances such as good and fast global convergence, strong robustness, insensitivity to initial values, and simplicity of implementation. We apply the method in the image processing for the multi-threshold image segmentation compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The properties are discussed and analysed at the end.

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Acknowledgements

This work is supported by the National Natural Scientific Foundation of China (No. 60672036, No. 60672037), the Natural Science Foundation of Shandong Province of China (No. Y2006G06), and the Catalan Government (Generalitat de Catalunya, Spain) under grant SGR2005-00690.

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Authors and Affiliations

  1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Av. Del, Canal Olímpic s/n, 08860 Castelldefels (Barcelona), Spain School of Information Science and Engineering, Shandong University, Jinan, 250100, China

    Mingyan Jiang & Miguel Angel Lagunas

  2. Military Insitutes of University Education (ASEI) Hellenic Naval Academy, Terma Chatzikyriakou, 18539, Piraues, Greece

    Nikos E. Mastorakis

  3. School of Information Science and Engineering, Shandong University, Jinan, 250100, China

    Dongfeng Yuan

Authors
  1. Mingyan Jiang
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  2. Nikos E. Mastorakis
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  3. Dongfeng Yuan
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  4. Miguel Angel Lagunas
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Corresponding author

Correspondence to Mingyan Jiang .

Editor information

Editors and Affiliations

  1. Military Institutes of University, Hellenic Naval Academy, Leoforos Chatzikyriakou, Piraeus, 185 39, Greece

    Nikos Mastorakis

  2. Dept. Theoretical Electrical, Technical University of Sofia, Kl. Ohridski St. 8, Sofia, 1000, Bulgaria

    Valeri Mladenov

  3. Roumelis 6, Vrilissia, 152 35, Greece

    Vassiliki T. Kontargyri

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© 2009 Springer Science+Business Media, LLC

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Jiang, M., Mastorakis, N.E., Yuan, D., Lagunas, M.A. (2009). Image Segmentation with Improved Artificial Fish Swarm Algorithm. In: Mastorakis, N., Mladenov, V., Kontargyri, V. (eds) Proceedings of the European Computing Conference. Lecture Notes in Electrical Engineering, vol 28. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-85437-3_12

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  • DOI: https://doi.org/10.1007/978-0-387-85437-3_12

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-84818-1

  • Online ISBN: 978-0-387-85437-3

  • eBook Packages: EngineeringEngineering (R0)

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