基于内容的图像检索技术研究

Research on content-based image retrieval techniques

随着互联网技术的快速发展,传统的基于关键字的图像检索已无法满足人们的需要,基于内容的图像检索技术(CBIR)越来越受到人们的青睐。现阐述了基于内容的图像检索系统的组成和基本原理,并着重介绍了CBIR的特征提取,相关反馈的关键技术,最后指出了基于内容的图像检索存在的问题和发展方向。

With the rapid development of intemet, the traditional image retrieval techniques based on keywords are not sufficient. Content-based image retrieval （CBIR） comes into existence, which rapidly becomes the research hot spot. The paper expatiated the basic components and theory, critical technology of content-based image retrieval, such as feature extraction, relevance feedback. At the end of the paper, the defects in existing image retrieval system and research direction in future are pointed out.