Advanced search
1 file | 4.72 MB

Wavelet-based colour texture retrieval using the kullback-leibler divergence between bivariate generalized gaussian models

Author
Organization
Abstract
We study the retrieval of coloured textures from a database. In a statistical framework we model the heavy-tailed wavelet histograms through a generalized Gaussian distribution (GGD). We choose the Kullback-Leibler divergence (KLD) as a similarity measure and we obtain a closed-form expression for the KLD between two zero-mean bivariate GGDs. This allows us to take into account the rich correlation structure between the colour bands two by two. We show that this results in a considerably improved retrieval rate and, in addition, we demonstrate the superior performance of the bivariate GGD, in comparison with the bivariate Gaussian.

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 4.72 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Verdoolaege, Geert, Yves Rosseel, Michiel Lambrechts, and Paul Scheunders. 2009. “Wavelet-based Colour Texture Retrieval Using the Kullback-leibler Divergence Between Bivariate Generalized Gaussian Models.” In 2009 16TH IEEE International Conference on Image Processing, 1-6:265–268. New York, NY, USA: IEEE.
APA
Verdoolaege, Geert, Rosseel, Y., Lambrechts, M., & Scheunders, P. (2009). Wavelet-based colour texture retrieval using the kullback-leibler divergence between bivariate generalized gaussian models. 2009 16TH IEEE International conference on image processing (Vol. 1–6, pp. 265–268). Presented at the 16TH IEEE International Conference On Image Processing, New York, NY, USA: IEEE.
Vancouver
1.
Verdoolaege G, Rosseel Y, Lambrechts M, Scheunders P. Wavelet-based colour texture retrieval using the kullback-leibler divergence between bivariate generalized gaussian models. 2009 16TH IEEE International conference on image processing. New York, NY, USA: IEEE; 2009. p. 265–8.
MLA
Verdoolaege, Geert, Yves Rosseel, Michiel Lambrechts, et al. “Wavelet-based Colour Texture Retrieval Using the Kullback-leibler Divergence Between Bivariate Generalized Gaussian Models.” 2009 16TH IEEE International Conference on Image Processing. Vol. 1–6. New York, NY, USA: IEEE, 2009. 265–268. Print.
@inproceedings{1149177,
  abstract     = {We study the retrieval of coloured textures from a database. In a statistical framework we model the heavy-tailed wavelet histograms through a generalized Gaussian distribution (GGD). We choose the Kullback-Leibler divergence (KLD) as a similarity measure and we obtain a closed-form expression for the KLD between two zero-mean bivariate GGDs. This allows us to take into account the rich correlation structure between the colour bands two by two. We show that this results in a considerably improved retrieval rate and, in addition, we demonstrate the superior performance of the bivariate GGD, in comparison with the bivariate Gaussian.},
  author       = {Verdoolaege, Geert and Rosseel, Yves and Lambrechts, Michiel and Scheunders, Paul},
  booktitle    = {2009 16TH IEEE International conference on image processing},
  isbn         = {9781424456536},
  language     = {eng},
  location     = {Cairo, Egypt},
  pages        = {265--268},
  publisher    = {IEEE},
  title        = {Wavelet-based colour texture retrieval using the kullback-leibler divergence between bivariate generalized gaussian models},
  volume       = {1-6},
  year         = {2009},
}

Web of Science
Times cited: