Improving Content-Based Image Retrieval with Relevance Feedback
نویسنده
چکیده
In this paper, we present an effective approach for improving content-based image retrieval (CBIR) with relevance feedback. A rectangular image segmentation technique is used for feature extraction in image retrieval. Then an image object matching algorithm is proposed for image retrieval. Finally, a feature reweighting approach is used for relevance feedback, which transforms object features into global features. Experimental results show that the proposed approach is more efficient and achieves higher precision for image retrieval of a large image dataset. Key-Words: Image retrieval, Rectangular Image segmentation, Relevance Feedback.
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تاریخ انتشار 2009