期刊
PATTERN RECOGNITION
卷 43, 期 6, 页码 2017-2027出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2010.01.007
关键词
Content-based image retrieval; Trademark image retrieval; Shape description; Feature matching
资金
- NSFC [60973117, 90718030, 60973115]
- New Century Excellent Talents in University (NCET) of Ministry of Education of China
Trademark image retrieval (TIR), a branch of content-based image retrieval (CBIR), is playing an important role in multimedia information retrieval. This paper proposes an effective solution for TIR by combining shape description and feature matching. We first present an effective shape description method which includes two shape descriptors. Second, we propose an effective feature matching strategy to compute the dissimilarity value between the feature vectors extracted from images. Finally, we combine the shape description method and the feature matching strategy to realize our solution. We conduct a large number of experiments on a standard image set to evaluate our solution and the existing solutions. By comparison of their experimental results, we can see that the proposed solution outperforms existing solutions for the widely used performance metrics. (C) 2010 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据