利用凹形树进行形状检索

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI:10.1109/ICPR.2004.1334481

O. Badawy, M. Kamel

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引用次数: 14

摘要

凹树是众所周知的抽象结构。提出了一种基于凹树的基于形状的图像检索方法。该方法主要由两个部分组成。首先是一种有效的(在空间和时间方面)基于轮廓的凹树提取算法。第二个组件是一个递归的凹树匹配算法，它返回两棵树之间的距离。在625张轮廓图像的数据库中，我们证明了凹形树能够将两个特征集的检索性能提高至少15%。

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Shape retrieval using concavity trees

Concavity trees are well-known abstract structures. This paper proposes a new shape-based image retrieval method based on concavity trees. The proposed method has two main components. The first is an efficient (in terms of space and time) contour-based concavity tree extraction algorithm. The second component is a recursive concavity-tree matching algorithm that returns a distance between two trees. We demonstrate that concavity trees are able to boost the retrieval performance of two feature sets by at least 15% when tested on a database of 625 silhouette images.

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Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.

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