Wavelet-based colour texture retrieval using the kullback-leibler divergence between bivariate generalized gaussian models
- Author
- Geert Verdoolaege (UGent) , Yves Rosseel (UGent) , Michiel Lambrechts and Paul Scheunders
- 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.
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1149177
- MLA
- Verdoolaege, Geert, 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, IEEE, 2009, pp. 265–68.
- APA
- Verdoolaege, G., 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, 1–6, 265–268. New York, NY, USA: IEEE.
- Chicago author-date
- 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, 1–6:265–68. New York, NY, USA: IEEE.
- Chicago author-date (all authors)
- 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.
- 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. In: 2009 16TH IEEE International conference on image processing. New York, NY, USA: IEEE; 2009. p. 265–8.
- IEEE
- [1]G. Verdoolaege, Y. Rosseel, M. Lambrechts, and P. Scheunders, “Wavelet-based colour texture retrieval using the kullback-leibler divergence between bivariate generalized gaussian models,” in 2009 16TH IEEE International conference on image processing, Cairo, Egypt, 2009, vol. 1–6, pp. 265–268.
@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}}, }