Abstract：In order to improve the effect of yarn color measurement,the feedback multi-spectral imaging method is proposed. Firstly, eight channel multi-spectral imaging system was established,and narrowband filter was constituted eight different wavelength. Secondly,threshold of yarn and background segmentation was chosen, yarn target information was obtained to increase the proportion of optimal segmentation threshold. Finally, feedback nonlinear was used to solve spectral reflectance. Experimental simulation shows that the feedback multi-spectral imaging method are better than other methods about CIEDE2000 color difference and root mean square error.
孔祥伟. 基于反馈式多光谱成像的纱线颜色测量研究[J]. 计量学报, 2019, 40(1): 91-96.
KONG Xiang-wei. Research on Yarn Color Measurement Based on Feedback Multi-spectral Imaging. Acta Metrologica Sinica, 2019, 40(1): 91-96.
［5］屈亮,廖宁放,董志刚,等. 八通道并行多光谱成像仪的辐射定标［J］.光学技术,2014,40(3):240-244.
Qu L, Liao N F,Dong Z G,et al. Radiometric calibration of eight-channel parallel multi-spectral imaging［J］.Optical technology,2014,40 (3):240-244.
［6］陈中伟,张凌江,王虹斌,等. 海洋颜色八通道多光谱成像测量研究［J］.哈尔滨工程大学学报,2013,31(3):376-381.
Chen Z W,Zhang L J,Wang H B,et al. Measuring sea color with eight-channel spectral imaging［J］.Journal of Harbin Engineering University,2013,31 (3):376-381.
［7］王雯雯,刘基宏. 基于欧氏距离的细纱断纱检测［J］.丝绸,2018,55(1):36-40.
Wang W W,Liu J H. Detection of spun yarn breakage based on Euclidean distance［J］.Silk, 2018, 55 (1):36-40.
［8］周龙峰,张昂,张俊波,等. 基于CCD探测器的点目标成像平均半径误差分析及最优阈值选择［J］. 光学学报, 2015, 35(7):152-157.
Zhou L F,Zhang A,Zhang J B,et al. Error Analysis of Spot Diagram’s Mean Radius Measured with CCD Sensor and Choice of the Optimal Threshold［J］.Acta Optica Sinica,2015,35(7):152-157.
［9］Hardeberg J Y,Schmitt F,Brettel H. Multispectral color image capture using a liquid crystal tunable filter［J］.Optical Engineering,2002(41):2532-2548.
［10］Cheung V,Westland S. Method for optimal color selection［J］.Journal of imaging science and technology,2006,6(56):481-488.
［11］ermák J,Boansky B,Horák K,et al. Approximating maxmin strategies in imperfect recall games using A-loss recall property［J］.International Journal of Approximate Reasoning,2018,93(2):290-326.
［12］Rosenberger M,Celestre R,Notni G. Image plane moving stage for high precision multispectral imaging［J］.Measurement,2018,119(4):85-90.
［13］Wouters N,De Ketelaere B,Deckers T,et al. Multispectral detection of floral buds for automated thinning of pear［J］.Computers and Electronics in Agriculture,2015,113(4):93-103.
［14］郑芝寰. 颜色成像中的反射分量分离及光谱测量研究［D］.杭州:浙江大学,2013.
［15］万会江. 多光谱成像系统研究［D］.杭州:浙江大学,2011.
［16］张静,叶玉堂,谢煜,等. 印刷电路板外观检测中光电图像的色差矫正方法［J］.计量学报,2015,36(3):238-241.
Zhang J,Ye Y T, Xie Y,et al. Method for chrominance correction of photoelectric image of appearance detection in printed circuit board［J］. Acta Metrologica Sinica,2015,36 (3):238-241.
［17］陈华,张志娟,刘刚,等. 融合色彩分割和加权非参数变换的立体匹配［J］.计量学报,2017,38(4):406-409.
Chen H, Zhang Z J, Liu G, et al. Stereo Matching Based on the Fusion of Color Segmentation and
Weighted Non-parametric Transform［J］. Acta Metrologica Sinica, 2017,38(4):406-409.
2019, Vol. 40 
