Spectral characterization and discrimination of synthetic fibers with near-infrared hyperspectral imaging system

被引:19
作者
Jin, Xiaoke [1 ,2 ]
Memon, Hafeezullah [1 ]
Tian, Wei [1 ,2 ]
Yin, Qinli [3 ]
Zhan, Xiaofang [1 ]
Zhu, Chengyan [1 ,2 ]
机构
[1] Zhejiang Sci Tech Univ, Coll Mat & Text, Xiasha Higher Educ Zone, 928 Second Ave, Hangzhou 310018, Zhejiang, Peoples R China
[2] Zhejiang Sci Tech Univ, Key Lab Adv Text Mat & Mfg Technol, Minist Educ, Hangzhou 310018, Zhejiang, Peoples R China
[3] Beijing Univ Civil Engn & Architecture, Sch Geomant & Urban Informat, Beijing 100044, Peoples R China
关键词
NIR SPECTROPHOTOMETRY; NEURAL-NETWORKS; CLASSIFICATION; SPECTROSCOPY;
D O I
10.1364/AO.56.003570
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Synthetic fibers account for about half of all fiber usage, with applications in every textile field. The phenomenon of fiber composition not matching the label harms consumer interests and impedes market development. Hyperspectral imaging technology as a potential technique can be utilized to discriminate mass synthetic fibers rapidly and nondestructively and achieves the functions that traditional Fourier transform infrared instruments do not have. On the basis of investigating the impact of dope-dyeing and wrapping processes on spectra, the spectral features (from 900 to 2500 nm) of six categories of synthetic fibers were extracted with a hyperspectral imaging system. A principal component analysis-linear discriminant analysis model was developed to discriminate the chemical content of fibers in different colors and structures, which showed 100% discrimination accuracy. Results demonstrated the feasibility of a hyperspectral imaging system in synthetic fiber discrimination. Therefore, this method offers a more convenient alternative for textile industry on-site discrimination. (C) 2017 Optical Society of America
引用
收藏
页码:3570 / 3576
页数:7
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