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Asia-Pacific Conference on Simulated Evolution and Learning

SEAL 1996: Simulated Evolution and Learning pp 97–105Cite as

Optimization of parameters of color image segmentation using evolutionary programming

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1285))

Abstract

In this paper, we suggest an optimization method of parameters of color image segmentation using evolutionary programming (EP). The objective image is colored papers on the background of varying intensity. And, evaluation methods for segmented images are modified. Also, an experiment for these images is performed. This EP based parameter optimization method for solving an indoor image segmentation problem will be applied to service robot vision system.

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References

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, KAIST, 373-1 Kusong-dong, 305-701, Yusong-gu, Taejon, Korea

    Won-Kyung Song & Zeungnam Bien

Authors
  1. Won-Kyung Song
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  2. Zeungnam Bien
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Editor information

Xin Yao Jong-Hwan Kim Takeshi Furuhashi

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© 1997 Springer-Verlag Berlin Heidelberg

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Song, WK., Bien, Z. (1997). Optimization of parameters of color image segmentation using evolutionary programming. In: Yao, X., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1996. Lecture Notes in Computer Science, vol 1285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028526

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  • DOI: https://doi.org/10.1007/BFb0028526

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63399-0

  • Online ISBN: 978-3-540-69538-7

  • eBook Packages: Springer Book Archive

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