Affine invariant descriptors for color images using Fourier series

Authors:
Ahmed El Oirrak;Mohamed Daoudi;Driss Aboutajdine
Affiliations:
LPTN, Faculté des sciences Semlalia, Marrakech, BP 2390, Morocco and Faculté des sciences, LEESA-GSCM, Rabat, BP 1014 Morocco;MIIRE Group, ENIC/INT, Cité scientifique, Rue Guglielmo Marconi, Villeneuve d' Ascq Cedex, France;Faculté des sciences, LEESA-GSCM, Rabat, BP 1014 Morocco
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

In this paper we use Fourier series to produce normalized coefficients for color images which are invariant under any affine transformation. In the reference [Pattern Recogn. Lett., 23 (2002) 1109], the proposed algorithm is developed to be applied to shape extracted from binary images, thus it is used to discriminate objects based only on their shape similarity. That means that it is unable to discriminate two objects with the same shape but different colors and textures. It is known also that the shape extraction is not an easy and well-solved problem. The present paper addresses the problem of constructing invariants and motion estimates using both shape and color informations. The quantitative evaluation of the proposed approach shows promising results.