An effective solution for trademark image retrieval by combining shape description and feature matching
An effective solution for trademark image retrieval by combining shape description and feature matching
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DOI：
10.1016/j.patcog.2010.01.007
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发表时间：
2010-06
期刊：
影响因子：
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通讯作者：
Heng Qi;Keqiu Li;Yanming Shen;W. Qu
中科院分区：
文献类型：
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作者：
Heng Qi;Keqiu Li;Yanming Shen;W. Qu
商标图像检索（TIR）作为基于内容的图像检索（CBIR）的一个分支，在多媒体信息检索中发挥着重要作用。本文结合形状描述和特征匹配提出了一种有效的 TIR 解决方案。我们首先提出一种有效的形状描述方法，其中包括两个形状描述符。其次，我们提出了一种有效的特征匹配策略来计算从图像中提取的特征向量之间的相异值。最后，我们结合形状描述方法和特征匹配策略来实现我们的解决方案。我们在标准图像集上进行了大量的实验来评估我们的解决方案和现有的解决方案。通过比较他们的实验结果，我们可以看到所提出的解决方案在广泛使用的性能指标方面优于现有解决方案。
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.