  This paper approaches the image retrieval system on the base of visual
features local region RBIR (region-based image retrieval). First of all, the
paper presents a method for extracting the interest points based on
Harris-Laplace to create the feature region of the image. Next, in order to
reduce the storage space and speed up query image, the paper builds the binary
signature structure to describe the visual content of image. Based on the
image's binary signature, the paper builds the SG (signature graph) to classify
and store image's binary signatures. Since then, the paper builds the image
retrieval algorithm on SG through the similar measure EMD (earth mover's
distance) between the image's binary signatures. Last but not least, the paper
gives an image retrieval model RBIR, experiments and assesses the image
retrieval method on Corel image database over 10,000 images.
