CBIR using the 2-D ESPRIT method: Application to Coil_100 database
Youness Chawki, Khalid El Asnaoui, Mohammed Ouanan, Brahim Aksasse · 2015
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.