计算机工程与应用Issue(14)：23-27,5.DOI:10.3778/j.issn.1002-8331.1408-0183
改进的二进制特征图像检索算法
Image retrieval based on enhanced binary feature
摘要
Abstract
In this paper it introduces an algorithm of image retrieval for embedded system, which uses local features to do image retrieval. In order to reduce the time cost and get high precision, it improves SIFT feature and descriptor. It replaces Gauss filter with mean filter in detection of scale-space extrema stage. It projects SIFT feature into binary descriptor with sparse matrix. It searches and matches object with multi-probe LSH based on K-means. By doing a series of experiments scale, rotation, blur, illumination, it can draw a conclusion that the algorithm has better performance than traditional state of arts.关键词
局部特征/二进制描述符/尺度不变特征转换(SIFT)/局部敏感哈希(LSH)Key words
local feature/binary descriptor/Scale-Invariant Feature Transform(SIFT)/Locality-Sensitive Hashing(LSH)分类
信息技术与安全科学引用本文复制引用
黄超,刘利强,周卫东..改进的二进制特征图像检索算法[J].计算机工程与应用,2015,(14):23-27,5.基金项目
国家自然科学基金（No.51009036）。 （）
