Image retrieval based on multi-feature integration and relevance feedback

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (3): 186-188.

• 数据库与信息处理 • Previous Articles Next Articles

Image retrieval based on multi-feature integration and relevance feedback

DANG Chang-qing,SONG Feng-juan,LIU Shu-ming

Department two of Information Engineering，Tangshan College，Tangshan，Hebei 063020，China

Received:1900-01-01 Revised:1900-01-01 Online:2008-01-21 Published:2008-01-21
Contact: DANG Chang-qing

基于多特征融合和相关反馈的图像检索

党长青,宋凤娟,刘树明

唐山学院信息工程二系，河北唐山 063020

通讯作者: 党长青

Abstract

Abstract: 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.

Key words: image retrieval, color feature, shape feature, texture feature, feature integration, relevance feedback

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。

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

DANG Chang-qing,SONG Feng-juan,LIU Shu-ming. Image retrieval based on multi-feature integration and relevance feedback[J]. Computer Engineering and Applications, 2008, 44(3): 186-188.

党长青,宋凤娟,刘树明. 基于多特征融合和相关反馈的图像检索[J]. 计算机工程与应用, 2008, 44(3): 186-188.

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Image retrieval based on multi-feature integration and relevance feedback

基于多特征融合和相关反馈的图像检索

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