DocumentCode
3779488
Title
CBIR using the 2-D ESPRIT method: Application to Coil_100 database
Author
Chawki Youness;El Asnaoui Khalid;Ouanan Mohammed;Aksasse Brahim
Author_Institution
Moulay Ismail University, Faculty of Science and Techniques, Department of Computer Sciences, M2I Laboratory, ASIA Team, BP 509 Boutalamine Errachidia, Morocco
fYear
2015
Firstpage
1
Lastpage
8
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
"Feature extraction","Image color analysis","Histograms","Image retrieval","Visualization","Shape"
Publisher
ieee
Conference_Titel
Computer Systems and Applications (AICCSA), 2015 IEEE/ACS 12th International Conference of
Electronic_ISBN
2161-5330
Type
conf
DOI
10.1109/AICCSA.2015.7507258
Filename
7507258
Link To Document