基于局部主色和边缘特征的图像检索  

Image retrieval based on combining local dominant color and edge histogram

作　　者：台德艳[1] 

机构地区：[1]安徽师范大学物理与电子信息学院,安徽芜湖241000

出　　处：《广西工学院学报》2009年第4期48-52,共5页Journal of Guangxi University of Technology

基　　金：安徽省自然科学基金(0904141730);安徽省教育厅产学重点项目(KJ2008A14ZC)资助

摘　　要：在基于内容图像检索技术中,经典颜色直方图方法具有一定的局限性,为此提出一种综合图像局部主色和边缘特征的图像检索方法.通过使用HSV颜色模型对图像进行量化,设计了一种重叠方式的图像分块方法,然后加权各分块区域主色,得到颜色特征,再利用Sobel算子提取图像边缘,用二维边缘直方图描述边缘特征,最后将颜色特征和边缘特征通过加权处理,得到图像总的相似度,实现图像检索.实验表明:综合两种特征的检索方法比单一特征的检索方法效果更好.The use of color histogram is now a classical method in the CBIR, which has proved to be limited. An image retrieval method based on local primary color-edge multi-features is proposed. In the field of retrievaling based on color, we use HSV color model to quantify the color and design 25 overlapped sub-regions to get color histogram in each region. Image edge is extracted by using Sobel detection operator. 2D edge histogram is used to describe shape feature. By assigning a weighting value, the technology based on color and edge features combine to a multimethod. The result shows that the retrieval results obtained from combined-features are superior to that obtained from single-features.

关 键 词：图像检索 颜色特征 边缘直方图 相似度匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]