Content-Based Image Retrieval Using a Composite Color-Shape Approach

We have proposed a composite feature measure which combines the shape and color features of an image based on a clustering technique. We have also developed a similarity measure to compute the degree of match between a given pair of images. This technique can be used for content-based image retrieval of images using shape and/or color, We have tested our technique on two image databases: one consisting of 100 synthetic images, and another database consisting of 500 actual trademarks images. Test results of the proposed scheme for retrieval of images using only shape, only color, and a weighted combination of the two are presented. The efficiency of retrieval is found to be very high and the experimental results are promising for practical applications

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