Content based images retrieval using decomposition model image

被引：0
|
作者：
Ould Mohamed Dyla, M.H. [1 ]
Senhaji, S. [2 ]
Tairi, H. [1 ]
Aarab, A. [2 ]
机构：
[1] LIIAN Department of computer, Morocco
[2] LESSI, Department of physics, Faculty of Sciences, Dhar El mahraz, BP 1796 FES, Morocco
来源：
International Review on Computers and Software | 2010年 / 5卷 / 01期
关键词：
Gabor filters - Content based retrieval;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we have developed a CBIR methodology that uses a new decomposition image based on PDE, the effective feature extraction is performed not on the original image but on its components. The texture features based on threshold Gabor features, are then calculated. Our system was tested on Brodatz databases and can be used in others CBIR applications. Retrieval efficiency and accuracy combining PDE decomposition and Gabor wavelet based features is found to be superior to other existing methods. © 2010 Praise Worthy Prize S.r.l. - All rights reserved.
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页码：113 / 118
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