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Hybrid Image Segmentation based on Fuzzy Clustering Algorithm for Satellite Imagery Searching and Retrieval

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Applied Soft Computing Technologies: The Challenge of Complexity

Part of the book series: Advances in Soft Computing ((AINSC,volume 34))

Abstract

Satellite image processing is a complex task that has received considerable attention from many researchers. In this paper, an interactive image query system for satellite imagery searching and retrieval is proposed. Like most image retrieval systems, extraction of image features is the most important step that has a great impact on the retrieval performance. Thus, a new technique that fuses color and texture features for segmentation is introduced. Applicability of the proposed technique is assessed using a database containing multispectral satellite imagery. The experiments demonstrate that the proposed segmentation technique is able to improve quality of the segmentation results as well as the retrieval performance.

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Author information

Authors and Affiliations

  1. School of Electrical & Electronic Engineering, University of Science Malaysia, Engineering Campus 14300 Nibong Tebal, Penang, MALAYSIA

    W.S. Ooi & C.P. Lim

Authors
  1. W.S. Ooi
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  2. C.P. Lim
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Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, Chung-Ang University, Heukseok-dong 221, 156-756, Seoul, Korea

    Ajith Abraham

  2. Department of Applied Mathematics Biometrics and Process Control, University Gent, Coupure Links 653, 9000 Gent, Belgium

    Bernard de Baets

  3. Dept. Automation Technologies, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  4. Dept. Automation Technologies, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Bertram Nickolay

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© 2006 Springer

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Ooi, W., Lim, C. (2006). Hybrid Image Segmentation based on Fuzzy Clustering Algorithm for Satellite Imagery Searching and Retrieval. In: Abraham, A., de Baets, B., Köppen, M., Nickolay, B. (eds) Applied Soft Computing Technologies: The Challenge of Complexity. Advances in Soft Computing, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31662-0_28

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  • DOI: https://doi.org/10.1007/3-540-31662-0_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31649-7

  • Online ISBN: 978-3-540-31662-6

  • eBook Packages: EngineeringEngineering (R0)

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