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El Asnaoui Khalid
Moulay Ismail University

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New Method of Content Based Image Retrieval based on 2-D ESPRIT Method and the Gabor Filters Chawki Youness; El Asnaoui Khalid; Ouanan Mohammed; Aksasse Brahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp313-320

Abstract

We propose, in this paper, a new method for Content Based Image Retrieval (CBIR) by exploiting the digital image content. Our method is based on the representation of the digital image content by a characteristics vector of the indexed image. Indeed, we have exploited the image texture to extract its characteristics and for constructing a new descriptor vector by combining the Bidimensional High Resolution Spectral Analysis 2-D ESPRIT (Estimation of Signal Parameters via Rotationnal Invariance Techniques) method and Gabor filter. To evaluate the performance, we have tested our approach on Brodatz image database. The results show that the representation of the digital image content appears significant in research of imaging information.
Co-Authors Aksasse Brahim Chawki Youness Ouanan Mohammed