¹School of Information Technology, Jinling Institute of Technology, Nanjing, China
²Department of Computer Science, Minjiang University, Fuzhou, China

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Abstract—The Fourier Descriptor (FD) is a powerful tool for shape analysis and many signatures have been proposed to derive Fourier descriptors. These shape signatures lack of important information in articulation and part structures of complex shapes. In this study, the Inner-Centroid Distance (ICDs) signature which is based on the Centroid Distance signature and Inner-Distance is developed to overcome the shortcomings of existing signatures. The retrieval performance is evaluated by using standard shape database and commonly used performance measurement. The experimental results demonstrate that the proposed signature performs better than the comparison algorithm.

Index Terms—Shape signature; Fourier descriptor; inner-distance; image retrieval.

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Cite: Yong Hu, Zuoyong Li, "An Improved Shape Signature for Shape Representation and Image Retrieval," Journal of Software vol. 8, no. 11, pp. 2925-2929, 2013.