文献类型：期刊文献

英文题名：An Automatic Centroid Image Selection Method Based on Fuzzy Logic Reasoning in Image Deduplication

作者：Chen, Ming[1];Yan, Jinghua[2];Gao, Tieliang[3];Ma, Huan[1];Duan, Li[4];Tang, Qiguang[5]

第一作者：Chen, Ming

通讯作者：Chen, M[1]

机构：[1]Zhengzhou Univ Light Ind, Software Engn Coll, Zhengzhou, Peoples R China;[2]Natl Comp Network Emergency Response Tech Team, Coordinat Ctr China, Beijing, Peoples R China;[3]Xinxiang Univ, Sch Business, Xinxiang, Henan, Peoples R China;[4]Beijing Jiaotong Univ, Beijing, Peoples R China;[5]Sinopec Zhongyuan Oilfield, Oil & Gas Engn Serv Ctr, Puyang, Henan, Peoples R China

第一机构：Zhengzhou Univ Light Ind, Software Engn Coll, Zhengzhou, Peoples R China

通讯机构：[1]corresponding author), Zhengzhou Univ Light Ind, Software Engn Coll, Zhengzhou, Peoples R China.

年份：2020

卷号：12

期号：4

起止页码：1-12

外文期刊名：INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING

收录：EI(收录号：20204109303653);Scopus(收录号：2-s2.0-85091936007);WOS:【ESCI(收录号:WOS:000565871000001)】；

基金：This research was supported by the National Science Foundation of China [grant numbers 61975187, 61902021]; The Outstanding postdoctoral funding projection of Xinjiang [grant numbers Y2019390229]; The Second Level of The Tianshan Talents Program [grant numbers Y839741201]; Outstanding Talent Program of Science and Technology Innovation in Henan Province [grant numbers 174200510008]; and Henan Science and Technology Research Project [grant numbers 162102210214, 182102210623].

语种：英文

外文关键词：Centroid Image; Defuzzification; Fuzzification; Fuzzy Logic Reasoning; Image Deduplication; Image Set Similarity; Inference Engine; Rule Base

摘要：Centroid selection plays a key role in image deduplication. It means selecting an optimal solution as a centroid image in a duplicate image set. Meanwhile, it will delete other image copies and establish pointers to point to the centroid image in the original position. At present, there is not a mature centroid selection scheme. Centroid selection mainly relies on users to manually complete according to experience. In a massive data environment, it will consume a lot of human resources, and it is easy to make mistakes by subjective judgment. Therefore, in order to solve this problem, this article proposes an automatic centroid image selection method based on fuzzy logic reasoning. In a duplicate image set, the image attribute information is used to automatically infer comprehensive quantized values to represent images, and the centroid image is selected by comparing the quantized values. The experimental results showed that the scheme not only could meet the visual perception characteristics, but also meet the purpose of image deduplication.