%0 Journal Article
%T Content Based Image Retrieval Using Color Edge Histogram in HSV Color Space<br>一种基于HSV空间的彩色边缘图像检索方法
%A YANG Hong-ying
%A WU Jun-feng
%A YU Yong-jian
%A WANG Xiang-yang
%A <br>杨红颖
%A 吴俊峰
%A 于永健
%A 王向阳
%J 中国图象图形学报
%D 2008
%I 
%X In this paper,a content based image retrieval algorithm using color edge histogram in HSV color space is proposed. Firstly,the color edge is extracted by using Canny detection operator. Secondly,the color edge is transformed from RGB space to HSV space and quantized. Thirdly,the color edge is divided into some ring regions and angle regions,and the color histogram of each ring region and angle region are computed as image features. Finally,the similarity between color images is computed by using a combined feature index based on the color histogram of ring region and angle region. Experimental results show that the proposed image retrieval is more accurate and efficient in retrieving the user-interested images.
%K image retrieval
%K HSV color space
%K color edge
%K color histogram<br>图像检索
%K HSV颜色空间
%K 彩色图像边缘
%K 颜色直方图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2FCB8CF45F1F11E6A18AF2F5DA97D966&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=F3090AE9B60B7ED1&sid=44EEEA929A173FC7&eid=438F607B4D053FEF&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=6