¹School of Computer and Information Science, Southwest University, Chongqing, China
²Department of Computing Science, Alberta University, Edmonton, Canada

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Abstract—To improve the accuracy of image retrieval methods, an effective image retrieval method based on multifeatures is proposed. The color feature of the image is extracted by constructing a (16:4:4) quantization scheme of image color. Perform the marked-watershed to achieve the segmentation of the image, and then extract Jan Flusser invariant moments. Gaussian model is applied to normalize the different subcharacters distance. The final multi-features similarity consists of the color similarity and the shape similarity. Experiments demonstrate the efficiency of the proposed method.

Index Terms—image retrieval, color feature, shape feature, marked-watershed segmentation

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Cite: Lang Sun, Yan Tang, Hong Zhang, "An Effective Image Retrieval Method Based on Multi-features," Journal of Software vol. 9, no. 4, pp. 931-937, 2014.