基于小波压缩和用户反馈的图像检索系统  

Content-based image retrieval based on wavelet-decomposition and feedback

作　　者：张玲[1] 王雪晶[1] 朱群雄[1] 

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《北京化工大学学报（自然科学版）》2006年第1期98-101,共4页Journal of Beijing University of Chemical Technology(Natural Science Edition)

摘　　要：为提高图像检索系统的准确率和有效率,本文提出一种基于小波压缩和用户反馈的图像检索方案。本系统直接对小波压缩图像进行分析,提取压缩域低频图像的颜色、纹理、形状特征,然后通过判别函数判别图像的相似性。利用检索结果的聚类性,以聚类用户反馈来提高检索系统的准确率和有效率。实验结果表明,利用颜色和纹理特征检索的效果较好,而利用形状特征检索的结果一般。This paper proposed an image retrieval method based on wavelet-compress and feedback which can improve the performance of a content-based image retrieval system. The proposed method compresses images based on sub-band coding, and then exacts compressed images features such as color, texture and shape. Correction and validity can be improved by the feedback of clustering correlativity. Experiment results prove that although in shape feature space the proposed method has worse performance than the basic method based on original image, in color and texture feature space the proposed method has higher performance than the basic method.

关 键 词：基于内容的图像检索 小波压缩 用户反馈 特征提取 

分 类 号：TN919.81[电子电信—通信与信息系统]