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Abstract : We present a ROI(Region-Of-Interest)-based medical image retrieval method that is considering combination of visual descriptors and initial weights for similarity matching. For semantic ROI segmentation, we create Attention Window(AW) to remove the meaningless regions included in the image such as background and to reduce the amount of processing time for segmenting ROIs. In addition, in order to improve the retrieval performance and consider human perception, initial weights for feature distances are also proposed. Experimental results show that the ROI-based method having different initial weights gives the better performance than pervious related methods.
keyword : ROI, medical image, retrieval system, MPEG-7 descriptor

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