Multivariate texture retrieval using the Kullback-Leibler divergence between bivariate generalized Gamma times an Uniform distribution - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès IEEE International Conference on Image Processing Année : 2012

Multivariate texture retrieval using the Kullback-Leibler divergence between bivariate generalized Gamma times an Uniform distribution

Résumé

This paper presents a new multivariate elliptical distribution, namely the multivariate generalized Gamma times an Uniform (MGGU) distribution. Because it generalizes the multivariate generalized Gaussian distribution (MGGD), the MGGU distribution is able to fit a wider range of signals. For the bivariate case, we provide a closed-form of the Kullback-Leibler divergence (KLD). We propose the MG$\Gamma$U distribution for modeling chrominance wavelet coefficients and exercise it in a texture retrieval experiment. A comparative study between some multivariate models on the VisTex and Outex image database is conducted and reveals that the use of the MGGU distribution of chromiance wavelet coefficient allows an indexing gain compared to other classical approaches such as MGGD and Copula based model.
Fichier principal
Vignette du fichier
Bombrun12_ICIP.pdf (428.84 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00744580 , version 1 (23-10-2012)

Identifiants

  • HAL Id : hal-00744580 , version 1

Citer

Lionel Bombrun, Yannick Berthoumieu. Multivariate texture retrieval using the Kullback-Leibler divergence between bivariate generalized Gamma times an Uniform distribution. IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. pp.2413-2416. ⟨hal-00744580⟩
136 Consultations
519 Téléchargements

Partager

Gmail Facebook X LinkedIn More