Content-based image retrieval using colour and shape features

被引：0
|
作者：
Park, YoungJae [1 ]
Park, KeeHong [2 ]
Kim, GyeYoung [1 ]
机构：
[1] Soongsil Univ, Dept Comp, Information Sci Bldg 527,Sangdo 1 Dong, Seoul, South Korea
[2] Natl Kunsan Univ, Dept Comp Informat Engn, Gunsan 573701, South Korea
来源：
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2013年 / 48卷 / 02期
基金：
新加坡国家研究基金会;
关键词：
curvature scale space; CSS; image retrieval; histogram intersection;
D O I：
10.1504/IJCAT.2013.056023
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we propose an image retrieval method using colour and shape features. We suggest the content-based image retrieval (CBIR) method using colour and shape information. Using just one type of feature information may be less accurate than using more than two types of feature information. Therefore, many image retrieval systems use many types of feature information, such as colour and shape. We use two features: HSI colour information, especially the hue value, and curvature scale space (CSS) shape information. We search the candidate image from a database that includes the feature information of many images.
引用
收藏
页码：155 / 161
页数：7
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