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Color Image Segmentation for Multimedia Applications

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Advances in Intelligent Systems

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Abstract

Image segmentation refers to partitioning an image into different regions that are homogeneous or “similar” in some image characteristics. It is usually the first task of any image analysis process module, and thus, subsequent tasks rely heavily on the quality of segmentation. The quality of segmentation determines the eventual success or failure of the analysis. For this reason, considerable care is taken to improve the probability of a successful segmentation.

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Author information

Authors and Affiliations

  1. Digital Signal & Image Processing Lab, Department of Electrical and Computer Engineering, University of Toronto, 10 Kings’ College Rd., Toronto, Ontario, M5S 3G4, Canada

    N. Ikonomakis & A. N. Venetsanopoulos

  2. School of Computer Science, Ryerson Polytechnic University, 350 Victoria Street, Toronto, Ontario, MBB 2K3, Canada

    K. N. Plataniotis

Authors
  1. N. Ikonomakis
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  2. K. N. Plataniotis
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  3. A. N. Venetsanopoulos
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Engineering, National Technical University of Athens, Greece

    Spyros G. Tzafestas

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© 1999 Springer Science+Business Media Dordrecht

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Ikonomakis, N., Plataniotis, K.N., Venetsanopoulos, A.N. (1999). Color Image Segmentation for Multimedia Applications. In: Tzafestas, S.G. (eds) Advances in Intelligent Systems. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4840-5_26

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  • DOI: https://doi.org/10.1007/978-94-011-4840-5_26

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-0393-6

  • Online ISBN: 978-94-011-4840-5

  • eBook Packages: Springer Book Archive

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