文献类型：期刊文献

英文题名：A fast fabric image matching and retrieval algorithm based on locality-sensitive hashing and visual word

作者：Zhang, Xueqin[1]; Liu, Yuanyuan[1]; Wei, Yifan[1]

机构：[1] Institute of Information Science and Technology, East China University of Science and Technology, Shanghai, China

年份：2018

卷号：815

起止页码：25

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20180804811957)

语种：英文

外文关键词：Image retrieval - K-means clustering

摘要：In order to meet the demands of designers in rapid fabric image retrieval, this paper proposes a fabric image matching algorithm based on Locality-Sensitive Hashing and visual word. The algorithm extracts the SIFT features of fabric images, which are clustered by K-Means to form the bag of visual words. According to the clustering results, feature histogram of each image can been calculated. At last, it realizes the fabric image matching and retrieval by E2LSH algorithm. Experiments show that the algorithm realizes the high detection accuracy in rapid fabric image matching and reach $$\upmu $$ s level for single image matching time. ? 2018, Springer Nature Singapore Pte Ltd.