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Color histograms are used to compare images in many applications. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, color histograms lack spatial information, so images with very different appearances can have similar histograms. This paper presents a new image retrieval algorithm based on color coherence region vectors (CCRV) image segmentation and its perceptual importance of different regions. Several features known to influence human visual attention are evaluated for each region of a segmented image to produce an importance value for region. Results shown indicate that images retrieval of perceptually important regions correlate well with human perception and the algorithm support region-based image retrieval.