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An Evolutionary System and Its Application to Automatic Image Segmentation

  • Conference paper
Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3611))

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Abstract

In this paper, an algorithm built on the notion of evolutionary system is proposed. During the evolution of distributed tribes, the individuals making up the tribes cooperatively effect pixel communication from one agent to the other in order to improve the homogeneity of the ensemble of the image regions that they represent. The proposed Artificial Coevolving Tribes, containing evolution, mature, propagate, and die, is explored in the context of image. Meanwhile, the given image is recognized and segmented. Stability and scale control of the algorithm is maintained. Results obtained on natural scenes are presented with the evolutionary process.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, School of Information Science and Engineering, Fudan University, Shanghai, 200433, China

    Yun Wen Chen & Yan Qiu Chen

Authors
  1. Yun Wen Chen
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  2. Yan Qiu Chen
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Chen, Y.W., Chen, Y.Q. (2005). An Evolutionary System and Its Application to Automatic Image Segmentation. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_100

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  • DOI: https://doi.org/10.1007/11539117_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28325-6

  • Online ISBN: 978-3-540-31858-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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