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Detection of varied defects in diverse fabric images via modified RPCA with noise term and defect prior (EI收录)
Cao, Junjie[1,2]; Wang, Nannan[1]; Zhang, Jie[3]; Wen, Zhijie[4]; Li, Bo[2]; Liu, Xiuping[1]
刊名International Journal of Clothing Science and Technology
2016
卷号28页码:516-529
关键词Principal component analysis
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2194079
专题华南理工大学
作者单位1.[1] School of Mathematical Sciences, Dalian University of Technology, Dalian, China
2.[2] School of Mathematics and Information Science, Nanchang Hangkong University, Nanchang, China
3.[3] School of Mathematics, Liaoning Normal University, Dalian, China
4.[4] Department of Mathematics, Shanghai University, Shanghai, China
推荐引用方式
GB/T 7714
Cao, Junjie[1,2],Wang, Nannan[1],Zhang, Jie[3],等. Detection of varied defects in diverse fabric images via modified RPCA with noise term and defect prior (EI收录)[J]. International Journal of Clothing Science and Technology,2016,28:516-529.
APA Cao, Junjie[1,2],Wang, Nannan[1],Zhang, Jie[3],Wen, Zhijie[4],Li, Bo[2],&Liu, Xiuping[1].(2016).Detection of varied defects in diverse fabric images via modified RPCA with noise term and defect prior (EI收录).International Journal of Clothing Science and Technology,28,516-529.
MLA Cao, Junjie[1,2],et al."Detection of varied defects in diverse fabric images via modified RPCA with noise term and defect prior (EI收录)".International Journal of Clothing Science and Technology 28(2016):516-529.
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