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A Content Based Image Retrieval Approach Based On Color and Shape

EL ASNAOUI Khalid, CHAWKI Youness, AKSASSE Brahim, OUANAN Mohammed


The problem that we consider in this paper is about the indexing images in a large database. In this context, we propose a new technique for indexing based on the combination of color and shape. This is an improvement of the 2-D histogram method with statistical moments by integrating the shape using Angular Radial Transform (ART) and by applying distributed computation to research image. This model reduces the searching time and provides a rapid response. Several experiments were performed using two different databases: Wang and Coil-100. In addition, the results have demonstrated the effectiveness and the robustness of the new method to the two databases with the best rate of average precision.


CBIR, 2-D histogram, ART, Feature extraction, Color, Shape.

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