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In this work, we develop a system for retrieving medical images with focus objects incorporating models of human perception. The approach is to guide the search for an optimum similarity function using human perception. First, the images are segmented using an automated segmentation tool. Then, 20 shape features are computed from each image to obtain a feature matrix. Principal component analysis is performed on this matrix to reduce the number of dimensions. Principal components obtained fromdoi:10.1109/itcc.2004.1286639 dblp:conf/itcc/CelebiA04 fatcat:mrha6623tven3jruirsgtlcf2q