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.
Chapter PDF
Similar content being viewed by others
References
Bimbo, A.D.: Visual Information Retrieval. Morgan Kaufman Publishers, Inc., San Francisco (2001)
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)
Haralick, R.M., Shanmugam, K., Dinstein, I.: Texture features for image classification. IEEE Trans.on System, Man and Cybernetics 3, 610–621 (1973)
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)
Jhanwar, N., Chaudhuri, S., Seetharaman, G., Zavidovique, B.: Content based image retrieval using motif coocurence matrix. Image and Vision Computing 22, 1211–1220 (2004)
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)
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)
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)
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)
Do, M.N., Vitterli, M.: The contourlet transform:an efficient directional multiresolution image representation. IEEE Transactions on Image Processing (2004) (to appear)
Swain, M.J., Ballard, D.H.: Color indexing. International Journal of Computer Vision 7, 11–32 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rajashekhar, Chaudhuri, S. (2005). Use of Contourlets for Image Retrieval. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_89
Download citation
DOI: https://doi.org/10.1007/11590316_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30506-4
Online ISBN: 978-3-540-32420-1
eBook Packages: Computer ScienceComputer Science (R0)