A Texture Based Image Retrieval Approach Using Self-Organizing Map Pre-Classification

被引：0

作者：

Rahimi, Mostafa. ^{[1
]}

Moghadam, Mohsen Ebrahimi ^{[1
]}

机构：

[1] Shahid Beheshti Univ, GC, Dept Elect & Comp Engn, Tehran, Iran

来源：

2011 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT) | 2011年

关键词：

color Image retrieval; clustering; Texton detection;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

the content based color image retrieval has great interest nowadays. In this paper, we have proposed a new approach for such systems. The proposed approach employs two main phases in train and test. At the first phase, color features are extracted based on RGB color space and texture are represented by Texton. In the second phase, the images are clustered based on extracted features using a Self-Organizing Map (SOM) neural network, the experimental results showed the method performance versus related works.

引用

页码：415 / 420

页数：6

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