Use of Contourlets for Image Retrieval

  • Rajashekhar
  • Subhasis Chaudhuri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

We propose a simple technique for content-based image retrieval (CBIR) using contourlets that possess not only the multi-resolution time frequency localization properties of wavelets but are also good at capturing the directional information. Statistical features extracted from contourlet coefficients on each subband of the decomposed image, capturing the textural properties, are combined with the color feature while doing the CBIR. The retrieval performance on a large image database shows that the proposed technique provides a better accuracy compared to other multi-resolution based approaches.

References

  1. 1.
    Bimbo, A.D.: Visual Information Retrieval. Morgan Kaufman Publishers, Inc., San Francisco (2001)Google Scholar
  2. 2.
    Rui, Y., Huang, T., Chang, S.F.: Image retrieval:current techniques promising directions and open issues. Journal of Visual Communication and Image Representation 10, 39–62 (1999)CrossRefGoogle Scholar
  3. 3.
    Haralick, R.M., Shanmugam, K., Dinstein, I.: Texture features for image classification. IEEE Trans.on System, Man and Cybernetics 3, 610–621 (1973)CrossRefGoogle Scholar
  4. 4.
    Do, M.N., Vitterli, M.: Wavelet-based texture retrieval using generalized gaussian density and kullback-liebler distance. IEEE Transactions on Image Processing 11, 146–158 (2002)CrossRefMathSciNetGoogle Scholar
  5. 5.
    Jhanwar, N., Chaudhuri, S., Seetharaman, G., Zavidovique, B.: Content based image retrieval using motif coocurence matrix. Image and Vision Computing 22, 1211–1220 (2004)Google Scholar
  6. 6.
    Manjunath, B.S., Ma, W.Y.: Texture features for browsing and retrieval of image data. IEEE Trans.on Pattern Analysis and Machine Inelligence 8, 837–841 (1996)CrossRefGoogle Scholar
  7. 7.
    Kokare, M., Chatterji, B.N., Biswas, P.K.: Rotated wavelet based texture features for content based image retrieval. In: Fifth International Conference on Advances in Pattern Recognition, pp. 243–247 (2003)Google Scholar
  8. 8.
    Smith, J., Chang, S.F.: Visual seek: A fully automated conent based query system. In: Proc. ACM Multimedia, pp. 87–98. ACM Press, New York (1996)Google Scholar
  9. 9.
    Simoncelli, E.P., Adelson, E.H.: Non-seperable extensions of quadrature mirror filters to multiple dimensions. Proc. of IEEE: Special issue on Multidimensional Signal Processing 78, 652–664 (1990)Google Scholar
  10. 10.
    Do, M.N., Vitterli, M.: The contourlet transform:an efficient directional multiresolution image representation. IEEE Transactions on Image Processing (2004) (to appear)Google Scholar
  11. 11.
    Swain, M.J., Ballard, D.H.: Color indexing. International Journal of Computer Vision 7, 11–32 (1991)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Rajashekhar
    • 1
  • Subhasis Chaudhuri
    • 1
  1. 1.Department of Electrical EngineringIIT BombayPowaiIndia

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