CBIR based on color and low-level texture features

被引：0
|
作者：
Choras, Ryszard S. [1 ]
机构：
[1] Univ Technol & LS, Fac Telecommun & Elect Engn, PL-85791 Bydgoszcz, Poland
来源：
PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PATTERN RECOGNITION, AND APPLICATIONS | 2007年
关键词：
CBIR; color histogram; Gabor filters; similarity metrics; texture features;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Content-based image retrieval systems allow the user to interactively search image databases looking for those images which are similar to a specified query image. Similarity between images is then assessed by computing similarity between feature vectors. These features are represented in the vector form, and often are combined together. This paper explores image retrieval mechanisms based on a combination of texture and color features. Texture features are extracted using the Gabor filters analysis. Color moments are used as color features.
引用
收藏
页码：259 / 263
页数：5
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