Abstract
In this paper, we propose a novel descriptor for texture representation in Content-Based Image Retrieval (CBIR). Indeed, Gabor filters are the most used methods in this representation, but their major disadvantages are the choice of values and number of frequencies and orientations. To remedy this problem, our new method consists in extracting from the image itself with good precision the frequencies and the orientations; using the 2-D ESPRIT method (Estimation of Signal Parameters via Rotational Invariant Techniques); that will be injected in the Gabor filters. Our approach has been applied on the Coil_100 database, and the obtained results show the effectiveness and the rapidity of our technique compared to Gabor filters.
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