高光谱成像技术在纺织检测领域的研究进展

doi:10.19398/j.att.202203026

摘要/Abstract

摘要： 高光谱成像技术融合了二维成像和光谱技术,可以同时获取待测物的空间及光谱信息,是一种先进的技术手段。随着市场的发展,对纺织品的检测效率、检测过程的绿色环保都提出了更高的要求,需要采用新技术开发新的检测方法。本文介绍了高光谱成像技术的原理、装置及图像数据处理方法,对其在棉花杂质检测、纺织品成分分析以及纺织品颜色测量等纺织检测领域的研究成果进行了总结,并结合研究现状提出了高光谱成像技术在纺织检测领域的应用方向和研究思路。

关键词: 高光谱成像, 纺织检测, 研究进展, 成分分析, 颜色测量

Abstract: Hyperspectral imaging technology, as an advanced technique integrating two-dimensional imaging and spectral technology, can obtain spatial and spectral information of research objects simultaneously. With the development of the market, higher requirements are put forward for the testing efficiency of textiles and environmental protection of the testing process. It is necessary to adopt new technologies to develop new testing methods. This paper introduces the principles, equipment, image acquisition and processing methods of the hyperspectral imaging technology. The research results of hyperspectral imaging technology in textile testing fields such as cotton impurity detection, textile component analysis and textile color measurement are summarized. Combined with the research status, the application direction and research ideas of hyperspectral imaging technology in textile inspection were put forward.

Key words: hyperspectral imaging, textile testing, research progress, composition analysis, color measurement

中图分类号:

TS101.8

梁慧芳, 张惠芳, 从明芳, 陈泽潭, 孙冲. 高光谱成像技术在纺织检测领域的研究进展[J]. 现代纺织技术, 2022, 30(6): 211-218.

LIANG Huifang, ZHANG Huifang, CONG Mingfang, CHEN Zetan, SUN Chong. Research progress of hyperspectral imaging technology in textile testing[J]. Advanced Textile Technology, 2022, 30(6): 211-218.

参考文献

[1] 袁志磊,张亚雯,蔡佳仕.色牢度仪器评级法对不同纺织品的适用性[J].理化检验-物理分册,2017,53(3):172-177,181.
YUAN Zhilei, ZHANG Yawen, CAI Jiashi. Applicability of instrument rating methods for color fastness on different types of textiles[J]. Physical Testing and Chemical Analysis (Part A: Physical Testing), 2017, 53(3):172-177,181.
[2] GOETZ A F, VANE G, SOLOMON J E, et a1.Imaging spectrometry for earth remote sensing[J]. Science, 1985, 228(4704): 1147-1153.
[3] ALEXANDER F H, Goetz. Three decades of hyperspe-ctral remote sensing of the earth: A personal view[J]. Remote Sensing of Environment, 2007, 113: S5-S16.
[4] 陈云浩,王思佳,赵逸飞,等.农业高光谱遥感研究进展及发展趋势[J].地理与地理信息科学,2019,35(5):1-8.
CHEN Yunhao, WANG Sijia, ZHAO Yifei, et al. Progress and development trend of agricultural hyperspe-ctral remote sensing research[J]. Geography and Geo-Information Science, 2019, 35(5):1-8.
[5] 何馥娴,蒙庆华,唐柳,等.高光谱成像技术在水果品质检测中的研究进展[J].果树学报,2021,38(9):1590-1599.
HE Fuxian, MENG Qinghua, TANG Liu, et al. Research progress in hyperspectral imaging technology for fruit quality detection[J]. Journal of Fruit Science, 2021, 38(9):1590-1599.
[6] 田有文,程怡,吴琼,等.农产品病虫害高光谱成像无损检测的研究进展[J].激光与红外,2013,43(12):1329-1335.
TIAN Youwen, CHENG Yi, WU Qiong, et al. Research progress on hyperspectral imaging in nondestructive detection of agricultural products disease and pest[J]. Laser & Infrared, 2013, 43(12): 1329-1335.
[7] 黎珊珊,谢志茹,黄燕秋,等.高光谱成像技术用于医学诊疗的研究进展[J].广东医学,2018,39(13):1921-1925.
LI Shanshan, XIE Zhiru, HUANG Yanqiu, et al. Research progress of hyperspectral imaging technology in medical diagnosis and treatment[J]. Guangdong Medical Journal, 2018, 39(13): 1921-1925.
[8] 李盛阳,刘志文,刘康,等.航天高光谱遥感应用研究进展(特邀)[J].红外与激光工程,2019,48(3):9-23.
LI Shengyang, LIU Zhiwen, LIU Kang, et al. Advances in application of space hyperspectral remote sensing (invited)[J]. Infrared and Laser Engineering, 2019, 48(3):9-23.
[9] 崔莹莹,杨铭铎,方伟佳,等.高光谱成像技术在红肉食用品质检测中的应用研究进展[J].肉类研究,2019,33(6):70-76.
CUI Yingying, YANG Mingduo, FANG Weijia, et al. A review of application of hyperspectral imaging technology in quality detection of red meat[J]. Meat Research, 2019, 33(6):70-76.
[10] 洪添胜,李震,吴春胤,等.高光谱图像技术在水果品质无损检测中的应用[J].农业工程学报,2007,23(11):280-285.
HONG Tiansheng, LI Zhen, WU Chunyin, et al. Review of hyperspectral image technology for non-destructive inspection of fruit quality[J]. Transactions of the CSAE, 2007, 23(11): 280-285.
[11] 周竹,方益明,尹建新,等.高光谱成像技术及其在木材无损检测中的研究进展[J].浙江农林大学学报,2015,32(3):458-466.
ZHOU Zhu, FANG Yiming, YIN Jianxin, et al. Review of nondestructive detection of wood and wood products based on hyperspectral imaging technology[J]. Journal of Zhejiang A&F University, 2015, 32(3):458-466.
[12] 郭俊先.基于高光谱成像技术的棉花杂质检测方法的研究[D].杭州:浙江大学,2011:12-13.
GUO Junxian. Study on Detection of Cotton Trashes by Hyperspectral Imaging[D]. Hangzhou: Zhejiang Univer-sity, 2011:12-13.
[13] 彭彦昆,张雷蕾.农畜产品品质安全高光谱无损检测技术进展和趋势[J].农业机械学报,2013,44(4):137-145.
PENG Yankun, ZHANG Leilei. Advancement and trend of hyperspectral imaging technique for nondestructive detection of agro-product quality and safety[J]. Transac-tions of the Chinese Society for Agricultural Machinery, 2013, 44(4):137-145.
[14] 刘飞,李春华,龚雪蛟,等.高光谱成像技术在茶叶中的应用研究进展[J].核农学报,2016,30(7):1386-1394.
LIU Fei, LI Chunhua, GONG Xuejiao, et al. Research progress on application of hyperspectral imaging techniques in tea science[J]. Journal of Nuclear Agricultural Sciences, 2016, 30(7): 1386-1394.
[15] 马本学,喻国威,王文霞,等.光谱分析在西甜瓜内部品质无损检测中的研究进展[J].光谱学与光谱分析,2020,40(7):2035-2041.
MA Benxue, YU Guowei, WANG Wenxia, et al. Recent advances in spectral analysis techniques for nondestructive detection of internal quality in watermelon and muskmelon: A review[J]. Spectroscopy and Spectral Analysis, 2020, 40(7): 2035-2041.
[16] 于宏威,王强,刘丽,等.粮油品质安全高光谱成像检测技术的研究进展[J].光谱学与光谱分析,2016,36(11):3643-3650.
YU Hongwei,WANG Qiang, LIU Li, et al. Research process on hyperspectral imaging detection technology for the quality and safety of grain and oils[J]. Spectroscopy and Spectral Analysis, 2016, 36(11): 3643-3650.
[17] 金肖克,田伟,朱炜婧,等.基于高光谱成像系统的纺织品成分定性鉴别[J].纺织学报,2018,39(10):50-57.
JIN Xiaoke, TIAN Wei, ZHU Weijing, et al. Qualitative identification of textile chemical composition based on hyperspectral imaging system[J]. Journal of Textile Research, 2018, 39(10):50-57.
[18] 常金强,张若宇,庞宇杰,等.高光谱成像的机采籽棉杂质分类检测[J].光谱学与光谱分析,2021,41(11):3552-3558.
CHANG Jinqiang, ZHANG Ruoyu, PANG Yujie, et al. Classification of impurities in machine-harvested seed cotton using hyperspectral imaging[J]. Spectroscopy and Spectral Analysis, 2021, 41(11):3552-3558.
[19] WEI X H, WU S, XU L Q, et al. Identification of foreign fibers of seed cotton using hyper-spectral images based onminimum noise fraction[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2014, 30(9): 243-248.
[20] 倪超,李振业,张雄,等.基于短波近红外高光谱和深度学习的籽棉地膜分选算法[J].农业机械学报,2019,50(12):170-179.
NI Chao, LI Zhenye, ZHANG Xiong, et al. Film sorting algorithmin seed cotton based on near-infrared hyperspectral imageand deep learning[J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(12):170-179.
[21] 刘巍,史勇,田海清,等.高光谱反射、透射和反透射成像模式的皮棉杂质检测方法研究[J].现代纺织技术,2019,27(5):44-49.
LIU Wei, SHI Yong, TIAN Haiqing, et al. Detection method for ginned cotton impurities based on hyperspectral reflection, transmission and reflection-Transmission imaging mode[J]. Advanced Textile Technology, 2019, 27(5):44-49.
[22] 郭俊先,应义斌,成芳,等.皮棉表面多类异性纤维的高光谱图像检测[J].农业工程学报,2010,26(10):355-360.
GUO Junxian, YING Yibin, CHENG Fang, et al. Detection of foreign materials on the surface of ginned cotton by hyper-spectral imaging[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(10):355-360.
[23] MUSTAFIC A, JIANG Y, LI C Y. Cotton contamination detection and classification using hyperspectral fluorescence imaging[J]. Textile Research Journal, 2016,86 (15):1574-1584.
[24] 张航,乔曦,李振波,等.皮棉中地膜的高光谱图像分割方法[J]. 农业工程学报, 2016, 32(13):161-167.
ZHANG Hang, QIAO Xi, LI Zhenbo, et al. Hypers-pectral image segmentation method for plastic films in ginned cotton [J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(13):161-167.
[25] ZHANG R Y, LI C Y, ZHANG M Y, et al. Shortwave infrared hyperspectral reflectance imaging for cotton foreign matter classification[J]. Computers & Electronics in Agriculture, 2016, 127:260-270.
[26] 郭俊先,李雪莲,黄华, 等.基于可见短波近红外高光谱图像的梳棉杂质关键波长的优选[J].新疆农业科学,2016,53(2):352-358.
GUO Junxian, LI Xuelian, HUANG Hua, et al. Wavelengths selection of trashes detection in combed cotton using hyper-spectral imaging at visible and short-wave near infrared wavelength range[J]. Xinjiang Agricultural Sciences, 2016, 53(2): 352-358.
[27] 郭俊先,应义斌,饶秀勤,等.梳棉内层杂质高光谱图像检测[J].农业机械学报,2012,43(12):197-203.
GUO Junxian, YING Yibin, RAO Xiuqin, et al. Detection of trashes in combed cotton using hyper-spectral images[J]. Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(12):197-203.
[28] ZHANG M Y, LI C Y, YANG F Z. Classification of foreign matter embedded inside cotton lint using short wave infrared (SWIR) hyperspectral transmittance imaging[J]. Computers & Electronics in Agriculture, 2017, 139: 75-90.
[29] JIANG Y, LI C Y. mRMR-based feature selection for classification of cotton foreign matter using hyperspectral imaging[J]. Computers & Electronics in Agriculture, 2015, 119:191-200.
[30] 孙克强,王京力,廖佳,等.近红外光谱技术在纺织产品检测中的应用[J].轻纺工业与技术,2019,48(8):189-191.
SUN Keqiang, WANG Jingli, LIAO Jia, et al. Application of near infrared spectroscopy in textile products detection[J]. Light and Textile Industry and Technology, 2019, 48(8):189-191.
[31] 祝成炎,金肖克,张红霞,等.一种基于高光谱成像的纺织品成分鉴别方法: CN104568778B[P].2018-04-17.
ZHU Chengyan, JIN Xiaoke, ZHANG Hongxia, et al. A textile component identification method based on hypers-pectral imaging: CN104568778A[P], 2015-04-29.
[32] 辛斌杰,孟想,刘岩,等.一种基于高光谱成像技术的纺织品材料识别方法及系统:CN107843593A[P].2018-03-27.
XIN Binjie, MENG Xiang, LIU Yan, et al. The invention relates to a textile material identification method and system based on hyperspectral imaging technology: CN107843593A[P]. 2018-03-27.
[33] JIN X K, MEMON H, TIAN W, et al. Spectral charac-terization and discrimination of synthetic fibers with near-infrared hyperspectral imaging system[J]. Applied Optics, 2017, 56(12): 3570-3576.
[34] 李佳平,沈国康,欧耀明,等.应用连续投影算法及最小二乘支持向量机的单组分纺织品识别[J].纺织学报,2018,39(8):46-51.
LI Jiaping, SHEN Guokang, OU Yaoming, et al. Single component textile identification based on continuous projec-tion algorithm and least squares support vector machine[J]. Journal of Textile Research, 2018, 39(8):46-51.
[35] LI J P, MENG X, WANG W D, et al. A novel hypers-pectral imaging and modeling method for the component identification of woven fabrics[J]. Textile Research Journal,2019, 89 (18): 3752-3767.
[36] 孙艺博.基于高光谱图像技术的涤棉织物定量鉴别模型及其可视化研究[D]. 杭州: 浙江理工大学, 2020.
SUN Yibo. Quantitative Identification Model of Polyester-cotton Fabric and Its Visualization Based on Hyperspectral and Imaging Technique[D]. Hangzhou: Zhejiang Sci-Tech University,2020.
[37] 张向丽,刘锦瑞,孙丽霞,等.纺织品色牢度自动评级系统性能的研究[J].现代纺织技术,2019,27(6):86-90.
ZHANG Xiangli, LIU Jinrui, SUN Lixia, et al. Study on properties of automatic rating system for textiles color fastness[J]. Advanced Textile Technology, 2019, 27(6): 86-90.
[38] DAMIAN K C, ANNA R, TOMASZ L. Assessment of hyperspectral imaging system for colour measurement[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2017: 185.
[39] 张盼.基于高光谱成像的单色织物颜色测量方法研究[D].杭州:浙江理工大学,2018.
ZHANG Pan. Study of Measurement Method for Yarn-dyed Fabric Solid Color Based on Hyper-spectral Imaging[D]. Hangzhou: Zhejiang Sci-Tech University, 2018.
[40] 裘柯槟,陈维国,周华.用光谱成像技术与分光光度法测量织物颜色的比较分析[J].纺织学报,2020,41(11):73-80.
QIU Kebin, CHEN Weiguo, ZHOU Hua. Comparison of spectral imaging and spectrophotometry in fabric color measurement[J]. Journal of Textile Research, 2020, 41(11):73-80.[41] ZHANG J X, LIU Y, ZHANG X E, et al. Evaluation and consistency calibration of hyperspectral imaging system based on liquid crystal tunable filter for fabric color measurement[J]. Color Research & Application, 2022,47:401-415.
[42] 张建新,章鑫恩,吴俊凯,等.基于高光谱图像采集的纺织品颜色测量系统及方法:CN110207824A[P], 2019-09-06.
ZHANG Jianxin, ZHANG Xin'en, WU Junkai, et al. Textile color measurement system and method based on hyperspectral image acquisition: CN110207824A[P], 2019-09-06.
[43] 应双双,付东,范运舫,等.基于高光谱成像技术的纺织数码印花颜色测量方法[J].浙江理工大学学报(自然科学版),2020,43(2):151-157.
YING Shuangshuang, FU Dong, FAN Yunfang, et al. Textile digital printing color measurement method based on hyperspectra limaging technology[J]. Journal of Zhejiang Sci-Tech University (Natural Sciences Edition), 2020, 43(2):151-157.
[44] ZHANG J X, ZHANG K P, WU J K, et al. Color segmentation and extraction of yarn-dyed fabric based on a hyperspectral imaging system[J]. Textile Research Journal, 2020, 91(7-8): 729-742.
[45] 吴俊凯.基于高光谱成像的纺织品颜色分割与提取方法研究[D].杭州:浙江理工大学,2020.
WU Junkai. Research on Textile Color Segmentation and Extraction Based on Hyperspectral Imaging Technology[D]. Hangzhou: Zhejiang Sci-Tech University, 2020.
[46] ZHANG J X, WU J K, HU X D, et al. Multi-color measurement of printed fabric using the hyperspectral imaging system[J]. Textile Research Journal, 2020, 90(9/10): 1024-1037.
[47] ZHANG J X, ZHANG X E, WU J K, et al. Dyeing recipe prediction of cotton fabric based on hyperspectral colour measurement and an improved recurrent neural network[J]. Coloration technology, 2021,137(2): 166-180.