一种基于混合图结构的图像表示与匹配新方法

Yang Lin, ZhongJian Teng
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引用次数: 4

摘要

提出了一种基于混合图结构的图像表示与匹配方法。混合图结构是根据图像内各区域的空间关系构造的。这种结构不需要冗余信息来描述图像。图像匹配过程侧重于评估相应混合图结构中包含的区域属性和关系。然后在此混合图结构的基础上构造一个关联图。通过在关联图中搜索最大的团块,我们可以得到该结构下图像间的最优相似度。实验结果表明了该方法的有效性。Keywords-image表示;图像匹配;混合图结构;关联图;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach for Image Representation and Matching Based on Mixed Graph Structure
A novel method based on mixed graph structure is proposed for image representation and matching. The mixed graph structure is constructed according to the spatial relation of the regions within an image. This structure does not require redundant information to describe images. An image matching process focuses on evaluating region attributes and relationships contained in the corresponding mixed graph structure. An association graph based on this mixed graph structure is then constructed. By searching the largest cliques in the association graph, we are able to obtain the optimal similarity among images under this structure. Experimental results are presented showing the effectiveness of our approach. Keywords-image representation; image matching; mixed graph structure; association graph;
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