Nanchang HangKong University,China

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Abstract—This paper introduces a new shape representation and retrieval method called distance autocorrelogram. Firstly, distance autocorrelogram is obtained under the premise of getting the contour’ centroidal distances. Then, we apply this shape descriptor to content-based image retrieval (CBIR). This feature depends on the centroidal distances and correlation between neighboring edges, so it can express the edge’ spatial distributing information. This scheme is effective and robust to translation, scaling and rotation. Experimental results and algorithm analysis demonstrate the efficiency and feasibility of this shapebased image retrieval approach. Beside, it has better performance compared to traditional distance histograms.

Index Terms—image retrieval; distance histograms; distance autocorrelogram; shape representation.

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Cite: Jie-xian Zeng, Yong-gang Zhao, Xiang Fu, "A Novel Shape Representation and Retrieval Algorithm: Distance Autocorrelogram," Journal of Software vol. 5, no. 9, pp. 1022-1029, 2010.