Study on Content-Based of Image Retrieval

被引：1
|
作者：
Zhang, Chi [1 ]
Huang, Lei [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
来源：
LISS 2013 | 2015年
关键词：
CBIR; Color histogram; Texture; Color coherence vector; Color feature;
D O I：
10.1007/978-3-642-40660-7_87
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Lots of Content Based Image Retrieval (CBIR) algorithms develops with the emergence of the information explosion time, which differs from each other by the feature used to describe the image content. In this paper, the color features and texture features are used for content-based image retrieval, during the implementation process I also attempt to add characteristics of the location of the color, and finally I decided to use the appropriate weighted color features and texture features for image retrieval, in some cases 80 % of the search results are satisfying.
引用
收藏
页码：591 / 594
页数：4
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