Chawki, Y. and Ouanan, M. and Aksasse, B. (2016) CBIR using the 2-D ESPRIT method: Application to coil 100 database. International Journal of Imaging and Robotics, 16 (2). pp. 67-77.

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Abstract

Most retrieval systems are mostly based on key words for image search, but in many case it cannot meet demands for different user with different view. In this paper, a new approach of content based image retrieval (CBIR) is presented, which is based on the image frequency content. Indeed, we have used the 2-D ESPRIT (Estimation of Signal Parameters via Rotationnal Invariance Techniques) method to extract from the image the frequency content for constructing the vector descriptor. Our approach is applied to the CoiL 100 database and the experimental results show that this method improves the precision of image retrieval. © 2016 by IJIR.

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/2626

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