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Shape Recognition and Retrieval Based on Edit Distance and Dynamic Programming
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作者 潘鸿飞 梁栋 +2 位作者 唐俊 王年 李薇 《Tsinghua Science and Technology》 SCIE EI CAS 2009年第6期739-745,共7页
An important aim in pattern recognition is to cluster the given shapes. This paper presents a shape recognition and retrieval algorithm. The algorithm first extracts the skeletal features using the medial axis transfo... An important aim in pattern recognition is to cluster the given shapes. This paper presents a shape recognition and retrieval algorithm. The algorithm first extracts the skeletal features using the medial axis transform. Then, the features are transformed into a string of symbols with the similarity among those symbols computed based on the edit distance. Finally, the shapes are identified using dynamic programming. Two public datasets are analyzed to demonstrate that the present approach is better than previous approaches. 展开更多
关键词 skeletal features medial axis transform edit distance dynamic programming
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