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CBIR using the 2-D ESPRIT Method: Application to Coil 100 Database

CHAWKI Youness, OUANAN Mohammed, AKSASSE Brahim

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.

Keywords


Content based image retrieval, Frequency Content, High Resolution, Spectral Analysis, 2-D ESPRIT.

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