J4 ›› 2012, Vol. 30 ›› Issue (3): 234-239.
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KANG Jian-ling|LI Xue-yan|GUO Shu-xu|ZHANG Jia-tong
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Abstract:
To address the shortcomings of the mere description of the shape of the contour can only describe a simple shape,a fusion of the smallest and statistical chain code and the entropy matrix singular value feature shape classification and retrieval methods,a combination of structure and statistical point of view based on the shape of the contour and regionalshape description,the same time,both the shape of the spatial distribution characteristics. Regional characteristics of the shape extends the spatial distribution characteristics of shape description with the robustness,the shape of the entropy matrix singular value characteristics of the noise stability to make up the chain code to describe the shape characteristics susceptible to noise limitations. Designed and implemented a shape retrieval based on MPEG7 shape database platform,and experimental results show that the algorithm has a better rotation,translation and scale invariance in shape retrieval and matching.
Key words: shape retrieval, chain code, entropy matrix, singular value
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KANG Jian-Ling, LI Xue-Yan, GUO Shu-Xu, ZHANG Jia-Dong. Shape Retrieval Based on Minimum Sum Statistical Chain Code and Entropy Matrix Singular Value[J].J4, 2012, 30(3): 234-239.
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http://xuebao.jlu.edu.cn/xxb/EN/Y2012/V30/I3/234
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