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Segmentation Using Saturation Thresholding and Its Application in Content-Based Retrieval of Images

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Image Analysis and Recognition (ICIAR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3211))

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Abstract

We analyze some of the visual properties of the HSV (Hue, Saturation and Value) color space and develop an image segmentation technique using the results of our analysis. In our method, features are extracted either by choosing the hue or the intensity as the dominant property based on the saturation value of a pixel. We perform content-based image retrieval by object-level matching of segmented images. A freely usable web-enabled application has been developed for demonstrating our work and for performing user queries.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, 721302, India

    A. Vadivel, M. Mohan & A. K. Majumdar

  2. School of Information Technology, Indian Institute of Technology, Kharagpur, 721302, India

    Shamik Sural

Authors
  1. A. Vadivel
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  2. M. Mohan
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  3. Shamik Sural
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  4. A. K. Majumdar
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Editor information

Editors and Affiliations

  1. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

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© 2004 Springer-Verlag Berlin Heidelberg

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Vadivel, A., Mohan, M., Sural, S., Majumdar, A.K. (2004). Segmentation Using Saturation Thresholding and Its Application in Content-Based Retrieval of Images. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_5

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  • DOI: https://doi.org/10.1007/978-3-540-30125-7_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23223-0

  • Online ISBN: 978-3-540-30125-7

  • eBook Packages: Springer Book Archive

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