Youness, C. and El Asnaoui, K. and Mohammed, O. and Brahim, A. (2016) CBIR using the 2-D ESPRIT method: Application to Coil-100 database. In: UNSPECIFIED.

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

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. © 2015 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Content based retrieval; Frequency estimation; Image enhancement; Signal analysis; Spectrum analysis, 2-D ESPRIT; Content based image retrieval; Frequency contents; High-resolution spectral analysis; Image frequency; Invariance technique; Retrieval systems; Signal parameters, Search engines
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/2580

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