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Iberoamerican Congress on Pattern Recognition

CIARP 2005: Progress in Pattern Recognition, Image Analysis and Applications pp 679–690Cite as

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Evaluating Content-Based Image Retrieval by Combining Color and Wavelet Features in a Region Based Scheme

Evaluating Content-Based Image Retrieval by Combining Color and Wavelet Features in a Region Based Scheme

  • Fernanda Ramos18,
  • Herman Martins Gomes19 &
  • Díbio Leandro Borges20 
  • Conference paper
  • 1052 Accesses

Part of the Lecture Notes in Computer Science book series (LNIP,volume 3773)

Abstract

Content description and representation are still challenging issues for the design and management of content-based image retrieval systems. This work proposes to derive content descriptors of color images by wavelet coding and indexing of the HSV (Hue, Saturation, Value) channels. An efficient scheme for this problem has to trade between being translation and rotation invariant, fast and accurate at the same time. Based on a diverse and difficult database of 1020 color images, and a strong experimental protocol we propose a method that first divides an image into 9 rectangular regions (i.e. zoning), second it applies a wavelet transformation in each of the HSV channels. A subset of the approximation and of detail coefficients of each set is then selected. A similarity measure based on histogram intersection followed by vector distance computation for the 9 regions then evaluates and ranks the closest images of the database by content. In this paper we give the details of the this new approach and show promising results upon extensive experiments performed in our lab.

Keywords

  • Image Retrieval
  • Wavelet Coefficient
  • Query Image
  • Detail Coefficient
  • Wavelet Feature

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Faculdade de Filosofia, Ciências e Letras de Palmas, Palmas, Pr, Brazil

    Fernanda Ramos

  2. Departamento de Sistemas e Computação, UFCG – Universidade Federal de Campina Grande, Av. Aprígio Veloso s/n, Bodocongó, Campina Grande, Pb, Brazil

    Herman Martins Gomes

  3. BIOSOLO, Goiânia, Go, Brazil

    Díbio Leandro Borges

Authors
  1. Fernanda Ramos
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  2. Herman Martins Gomes
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  3. Díbio Leandro Borges
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Editor information

Editors and Affiliations

  1. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

  2. Pattern Recognition Group, ICIMAF, Havana, Cuba

    Manuel Lazo Cortés

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© 2005 Springer-Verlag Berlin Heidelberg

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Ramos, F., Gomes, H.M., Borges, D.L. (2005). Evaluating Content-Based Image Retrieval by Combining Color and Wavelet Features in a Region Based Scheme. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_71

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  • DOI: https://doi.org/10.1007/11578079_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29850-2

  • Online ISBN: 978-3-540-32242-9

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