Abstract 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 (ROI) 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.
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2008, Vol. 21 
