The Research on Image Retrieval Based on Combined Multi-Features and Relevance Feedback

被引：0
|
作者：
Zhang, Shu-Juan [1 ]
机构：
[1] N Univ China, Sch Elect & Comp Sci Technol, Taiyuan 030051, Peoples R China
来源：
EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE | 2011年 / 237卷
关键词：
Image retrieval; Color feature; Texture feature; Support vector machines; Relevance feedback;
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：
The color feature is demonstrated by the algorithm of the improved histogram. The texture feature is extracted by Gabor filters. On the basis of above contents, the article studies a method for image retrieval using combined color feature and texture feature. Then by studying the theory of support vector machines, the algorithm of the SVM relevance feedback is introduced. The results of experiments show that combined feature extraction and relevance feedback algorithm has better retrieval performance and the results can be obtained to better meet the need of users.
引用
收藏
页码：514 / 520
页数：7
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