文章基本信息

标题：SIFT Feature-Based Second-Order Image Hash Retrieval Approach
本地全文：下载
作者：Xianghui Zhao ; Zhirong Li ; Junkai Yi 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2018
卷号：13
期号：1
页码：103-116
DOI：10.17706/jsw.13.2.103-116
出版社：Academy Publisher
摘要：In this paper, a second-order Hash retrieval approach is proposed based on SIFT feature of pictures and applied to search similar images. Firstly, extract features of an image by the method of SIFT. Then, cluster the key words through K-Means algorithm and create a word frequency table of the features by utilizing bag ofword algorithm. Finally, match familiar images by the method of second-order Hash retrieval algorithm based on the word frequency table. The second-order Hash retrieval algorithm includes two steps. The first-order Hash retrieval aims to searchsimilarities of feature distribution structure. And the second-order Hash retrieval implements accurate search, which depends on the ratio ofthe quantity of the two images’ features belong to the same feature category tothe total feature points of the image itself. The experiment results indicatethat this approach performs well on accuracy and efficiency.
其他关键词：SIFT features, image Hash retrieval, word frequency table, second-order retrieval.