El Asnaoui, K. and Chawki, Y. and Aksasse, B. and Ouanan, M. (2016) A content based image retrieval approach based on color and shape. International Journal of Tomography and Simulation, 29 (2). pp. 37-49.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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. © 2016 by CESER PUBLICATIONS.

Item Type: Article
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46
URI: http://eprints.umi.ac.ma/id/eprint/2627

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