中文摘要：

由于目前还没有语义级的目标区域提取算法，致使难以准确提取表达用户检索意图的图像区域，而只提取图像单个特征往往不能满足各种检索需求．针对此，本文引入用户选择感兴趣区域（ROI）和多分类器系统（MCS），先由用户选择感兴趣区域，然后提取所选区域的多种特征，分别构造相应的分类器，最后通过对各分类器结果的集成得到检索结果．实验结果表明，本文方法能够准确获取用户的查询意图，具有更高的查准率．

英文摘要：

Since there is no effective algorithm for semantic level region extraction, it is difficult to obtain the region that reveals users＇ retrieval purposes exactly. Besides, different retrieval purposes demand various features. In order to solve these problems, an image retrieval method is proposed based on region of interest （ROD and multiple classifier systems （MCS）. Firstly, ROI is selected by users. Then, different features of ROI are extracted for constructing corresponding classifiers. Finally, the retrieval results are obtained by combining the outputs of individual classifiers. Experimental results show that the proposed method can exactly grasp the retrieval users＇ purpose and greatly improve the precision of retrieval systems.