%0 Journal Article
%T Meaningful regions-based algorithm for color image retrieval<br>基于有意义区域的颜色检索算法
%A YANG Ze-xin
%A FENG Yu-cai
%A LIANG Jun-jie
%A CHENG Jun
%A <br>杨泽新
%A 冯玉才
%A 梁俊杰
%A 等
%J 计算机应用
%D 2005
%I 
%X An meaningful regions-based algorithm was provided: the color cluster parameters of images were calculated first.Those images with high value were split into sub-regions by image segmentation,and others were just split into sub-blocks.Each block was regarded as a region,and was given a dynamic weight.The total similarity between two images was computed according to those regions' color histograms.The experiments show that this approach can achieve increased power of discrimination than the classical color histogram method.
%K CBIR(Content-Based Image Retrieval)
%K color histogram
%K color distribution
%K image segmentation
%K region growing
%K dynamic weight<br>基于内容的图像检索
%K 颜色直方图
%K 颜色分布
%K 图像分割
%K 区域生长
%K 动态加权
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=5E40E3C4262714D2&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=B4133463C310C9AB&eid=9EBA2560179115FF&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=9