Regional objects based image retrieval

摘要：

Content-based image retrieval has become an important research area. In order to extract the semantic information within the user’s query concept, we propose an image retrieval method based on regional objects. It is regarded as the pre-processing of a given query image, that is to say, when we get a query image, it needs us to segment the regional object which is useful or interesting, and retrieve according to the segmented fragment. Moreover, we propose a correlation coefficient based color representation. Experimental results demonstrate that our proposed approach performs much better than its related methods. Furthermore, the presented system has a high retrieval precision and keeps color consistency between the similarity images.

关键词： Content-based image retrieval Regional objects Pre-processing Correlation coefficient

作者: Jian-Guo Wu Xi-Zhao Wang Hong-Jie Xing

作者单位: Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Computer Science, Hebei University, Baoding, 071002, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1273-1277

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）