Estimation of the orientation of textured patterns via wavelet analysis

A. Lefebvre 1 Thomas Corpetti 1 Laurence Hubert-Moy 1
1 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554
Abstract : This paper is concerned with the estimation of the dominant orientation of textured patches that appear in a number of images (remote sensing, biology or natural sciences for instance). It is based on the maximization of a criterion that deals with the coefficients enclosed in the different bands of a wavelet decomposition of the original image. More precisely, we search for the orientation that best concentrates the energy of the coefficients in a single direction. To compare the wavelet coefficients between the different bands, we use the Kullback-Leibler divergence on their distribution, this latter being assumed to behave like a Generalized Gaussian Density. The space-time localization of the wavelet transform allows to deal with any polygon that may be contained in a single image. This is of key importance when one works with (non-rectangular) segmented objects. We have applied the same methodology but using other criteria to compare the distributions, in order to highlight the benefit of the Kullback-Leibler divergence. In addition, the methodology is validated on synthetic and real situations and compared with a state-of-the-art approach devoted to orientation estimation.
Type de document :
Article dans une revue
Pattern Recognition Letters, Elsevier, 2011, 32 (2), pp.190-196. 〈10.1016/j.patrec.2010.09.021〉
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Contributeur : Laurence Hubert-Moy <>
Soumis le : mercredi 21 janvier 2015 - 09:10:06
Dernière modification le : jeudi 7 février 2019 - 17:36:41



A. Lefebvre, Thomas Corpetti, Laurence Hubert-Moy. Estimation of the orientation of textured patterns via wavelet analysis. Pattern Recognition Letters, Elsevier, 2011, 32 (2), pp.190-196. 〈10.1016/j.patrec.2010.09.021〉. 〈hal-01107554〉



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