[1]汪慧兰,毛晓辉,杨晶晶,等. 融合小波变换和SIFT特征的商标检索方法[J].计算机技术与发展,2015,25(04):89-92.
　WANG Hui-lan,MAO Xiao-hui,YANG Jing-jing,et al. Trademark Retrieval Method Combining Wavelet Transform and SIFT Features[J].,2015,25(04):89-92.
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 融合小波变换和SIFT特征的商标检索方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年04期
页码:
89-92
栏目:
智能、算法、系统工程
出版日期:
2015-04-10

文章信息/Info

Title:
 Trademark Retrieval Method Combining Wavelet Transform and SIFT Features
文章编号:
1673-629X（2015)04-0089-04
作者:
 汪慧兰; 毛晓辉; 杨晶晶; 杨卫中
 安徽师范大学 物理与电子信息学院
Author(s):
 WANG Hui-lan ; MAO Xiao-hui; YANG Jing-jing ; YANG Wei-zhong
关键词:
 ; 商标检索; 小波变换; SIFT; 特征匹配; 检索性能
Keywords:
 ; trademark search ; wavelet transform ; SIFT ; feature matching; retrieval performance
分类号:
TP391.41
文献标志码:
A
摘要:
 针对基于SIFT特征的商标检索其计算量大、检索速度慢、效率低的不足，提出了一种融合小波变换和SIFT特征的商标检索方法。该方法先通过小波分解得到低频子图像并建立低频子图像库，在低频子图像上提取商标图像的SIFT特征，再逐一进行精确匹配，对相似度进行排序，输出检索结果。实验结果表明，该方法不仅保持了SIFT特征的良好描述能力，且减少了精确匹配的计算量，提高了匹配速度。融合小波变换和SIFT特征的商标检索方法有效地弥补了原算法的不足，表现出了更好的检索能力和性能。
Abstract:
 Trademark search based on SIFT has some shortcomings,such as the large amount of calculation,slow search speed,low effi-ciency and so on. A method for trademark search by integration of wavelet transform and SIFT features was proposed. First,get low-fre-quency sub-image by wavelet decomposition,and create a low-frequency sub-image database. Then,extract SIFT feature in the low-fre-quency sub-image after wavelet transform,do exact match one by one,and be sort of similarity,thus output search results. The experi-mental results show that this method not only maintains a good description of SIFT features,but also reduces the amount of calculation of precisely matching and improves matching speed. The trademark retrieval method combining wavelet transform and SIFT features can ef-fectively compensate for the deficiencies of the original algorithm,and show better search capabilities and performance.

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更新日期/Last Update: 2015-06-04