Trademark retrieval by relaxation matching on fluency function approximated image contours
Trademark retrieval by relaxation matching on fluency function approximated image contours
复制标题
基于流畅函数近似图像轮廓的松弛匹配商标检索
DOI：
10.1109/pacrim.2001.953571
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Kazuo Toraichi
中科院分区：
文献类型：
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作者：
P. Kwan;Keisuke Kameyama;Kazuo Toraichi
我们提出了一种自动检索方法，该方法解决了从数据库中查找与输入图像相比较的相似商标图像的问题。我们的方法是基于使用松弛匹配来评估输入和配准图像之间提取的图像轮廓段之间相对关系的兼容性。在找到输入的轮廓段与每个配准图像之间的最佳匹配配置后，总体兼容性为相似性排序中使用的距离度量提供了基础。实验随机选取300幅取自日本专利局网站的商标图像进行性能评价。然而，我们的方法的适用性不仅限于商标检索，而且可以扩展到其他需要图像相似度匹配的应用。
We propose an automatic retrieval method that addresses the problem of finding similar trademark images from a database when compared with an input. Our method is based on evaluating the compatibility of relative relations among extracted image contour segments between the input and the registered images using relaxation matching. The overall compatibility, after finding a best matching configuration between contour segments of the input and each registered image, provides the basis for a distance metric used in similarity ranking. Experiments were carried out on 300 randomly selected trademark images obtained from the Japan Patent Office's Website for performance evaluation. The applicability of our method, however, is not limited to trademark retrieval but can be extended to other applications having the need for image similarity matching.