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Computer Recognition Systems 4 pp 337–345Cite as

Color Image Retrieval Based on Mixture Approximation and Color Region Matching

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 95))

Abstract

The paper introduces the extension of the color image retrieval method based on the approximation of the perceptual parameters. The proposed solution enables effective search for similar images regardlessly of the applied compression scheme not only taking into account the color palette and the presence of regions of the homogenous color within the image, but also their spatial arrangement. The proposed method utilizes the Gaussian Mixture Modeling combined with the Bilateral Filtering approach along with color matching method based on dominant region color. The evaluated results show that satisfactory retrieval results can be obtained regardlessly to applied compression schemes, preserving the spatial arrangement of the color regions in evaluated results.

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Author information

Authors and Affiliations

  1. Department of Applied Computer Science, University of Lodz, Banacha 22 Str, 98-238, Lodz, Poland

    Maria Luszczkiewicz-Piatek

  2. Department of Automatic Control, Silesian University of Technology, Akademicka 16 Str, 44-100, Gliwice, Poland

    Bogdan Smolka

Authors
  1. Maria Luszczkiewicz-Piatek
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  2. Bogdan Smolka
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Editor information

Editors and Affiliations

  1. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Robert Burduk , Marek Kurzyński  & Andrzej Żołnierek ,  & 

  2. Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

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© 2011 Springer-Verlag Berlin Heidelberg

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Luszczkiewicz-Piatek, M., Smolka, B. (2011). Color Image Retrieval Based on Mixture Approximation and Color Region Matching. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_35

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  • DOI: https://doi.org/10.1007/978-3-642-20320-6_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20319-0

  • Online ISBN: 978-3-642-20320-6

  • eBook Packages: EngineeringEngineering (R0)

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