Image Retrieval based on Color and Texture Features

被引：1
|
作者：
Chen, Xiuxin [1 ]
Zheng, Ya [1 ]
Yu, Chongchong [1 ]
Gao, Cheng [1 ]
机构：
[1] BTBU, Comp & Informat Engn Dept, Beijing, Peoples R China
来源：
2013 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2013) | 2013年
关键词：
Color histogram feature; Texture feature; J4.8;
D O I：
10.1109/IIH-MSP.2013.107
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Currently, content-based color image retrieval technology is widely used, however, if we consider using single visual feature only to characterize image, the effect is not perfect. This paper is to overcome the above drawbacks, and have proposed using multi-feature approach to represent a color image, and then adding a slight noise on the different categories of images to match, finally, the results of the multi-feature matching defined as J4.8 decision trees properties' input to train correspondingly. Experimental results have shown that color image retrieval accuracy of this method is higher, the operation is small, and it will be robust for the slight noise. Therefore, it is suitable for different types of color image retrieval.
引用
收藏
页码：403 / 406
页数：4
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