计算机技术与发展Issue(4)：89-92,4.DOI:10.3969/j.issn.1673-629X.2015.04.021
融合小波变换和SIFT特征的商标检索方法
Trademark Retrieval Method Combining Wavelet Transform and SIFT Features
摘要
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.关键词
商标检索/小波变换/SIFT/特征匹配/检索性能Key words
trademark search/wavelet transform/SIFT/feature matching/retrieval performance分类
信息技术与安全科学引用本文复制引用
汪慧兰,毛晓辉,杨晶晶,杨卫中..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,(4):89-92,4.基金项目
安徽省高校省级自然科学研究项目(KJ2011Z135) （KJ2011Z135）
中科院光电技术研究所微细加工光学技术国家重点实验室开放基金 （）
