基于多特征融合和相关反馈的图像检索  

Image retrieval based on multi-feature integration and relevance feedback

作　　者：党长青[1] 宋凤娟[1] 刘树明[1] 

机构地区：[1]唐山学院信息工程二系,河北唐山063020

出　　处：《计算机工程与应用》2008年第3期186-188,216,共4页Computer Engineering and Applications

基　　金：国家自然科学基金( the National Natural Science Foundation of China under Grant No.50127402)

摘　　要：鉴于单一视觉特征不能很好地表达图像内容,提出一种融合图像颜色、形状、纹理特征的图像检索方法。最后采用支持向量机(SVM)的相关反馈算法提高图像检索的准确度,缩小低层特征和高层语义之间的语义鸿沟。实验结果说明提出的方法具有良好的检索性能。Current image retrieval methods use only one kind of image features,which can not describe image content completely. In this paper,a image retrieval method based on multi-feature integration is proposed.In order to improve the precision of image retrieval and reduce the semantic gap between the visual feature and semantic feature,a relevance feedback mechanism,based on support vector machines is invoked. The experiment results show that the proposed method have an excellent retrieval performance.

关 键 词：图像检索 颜色特征 形状特征 纹理特征 特征融合 相关反馈 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]