40 6 ( ) Vol.40 No.6 2009 12 Journal of Central South University (Science and Technology) Dec. 2009 1, 2 2 2 2 (1. 710071; 2. 310018) (NIR) (PLS) 144 5 144 103 41 PLS (R 2 ) 99.74% 0.636% O6571.3 A 1672 7207(2009)06 1655 05 Application of color detection by near infrared spectroscopy in color detection of printing GUAN Li-ming 1, 2, HU Geng-sheng 2, LU Hong-wei 2, LIN Jian 2 (1. School of Electromechanical Engineering, Xidian University, Xi an 710071, China; 2. School of Printing Engineering, Hangzhou Dianzi University, Hangzhou 310018, China) Abstract: In order to detect printing color fast and exactly, near infrared (NIR) spectroscopy technique combined with partial least square (PLS) was used to build the prediction model of color. NIR spectroscopy technique is a nondestructive, fast and accurate technique for the measurement of chemical components based on overtone and combination bands of specific functional groups. The pivotal step for spectroscopy technique is extracting quantitative data from mass spectral data and eliminating spectral interferences. PLS is used for the spectroscopic analysis. Firstly, the near infrared spectra of 144 samples are obtained, and then PLS is applied to reduce the dimension of the original spectra. The 144 samples are randomly separated into calibration set and validation set. PLS is used to build prediction model of chroma based on the calibration set, then this model is employed for the prediction of the validation set. Correlation coefficient (R 2 ) of prediction and root mean square error prediction (RMSEP) are used as the evaluation standards. The results show that R 2 and RMSEP for the prediction of chroma are 99.74% and 0.636%, respectively. Hence, PLS model with high prediction precision can be applied to the determination of chroma. Key words: printing; near infrared spectroscopy; color detection 1 /h 2009 05 172009 07 29 (60672063)(021105778) (1968 )0571-86878503 E-mail: glm@hdu.edu.cn
1656 ( ) 40 [1] [2] [3] [4] [5] [6 7] [8] [9 11] [12 13] [14] [15] O H N H C H S H (PLS) 1 1.1 [16] (Y) (M)(C)(K) 1 1 2 [17] 1.2 () (a) (b) (a) 1 Fig.1 Four-color printing product and its local enlargement of selected area
6 1657 L* a* b*( L*a* b*) L* a* b* 3 3.1 2 1 000~2 500 nm( 4 000~ 10 000 cm 1 ) [18] TQ6.2 (Thermo Nicolet) 2 2.1 Bruker MPA 10 cm 2 cm 51 mm OPUS 12 500~4 000 cm 1 4 cm 1 32 X-rite 530 D 65 2 L* a* b* 2.2 GATF TestForm 4.1 BlackMagic CTP CD102-4 UPM 2 kg 144 103 41 2.3 Savitzky-Golay 21 (MSC) OPUS 8 426~6 098 cm 1 5 450~4 248 cm 1 2 Fig.2 Near infrared spectrum original spectra of printed matter OPUS (Savity-golay smoothing) 7 (MSC) [19] 3 3.2 [20],, 2 L* a* b* L* a* b*
1658 ( ) 40 103 L* 4 L* (R 2 ) 99.53% 0.812% 5 [21] R 2 98.66% 0.538% 3 Fig.3 Near infrared spectrum after S-G smoothing and MSC Table 1 1 Comparison of predicted results by near-infrared and spectrophotometer 1 90.58 91.64 1.060 22 70.00 70.08 0.075 2 89.58 89.05 0.533 23 71.43 71.28 0.152 3 88.36 88.5 0.144 24 69.10 68.74 0.363 4 87.48 86.88 0.600 25 66.49 66.11 0.378 5 89.21 88.22 0.988 26 65.24 65.35 0.108 6 87.61 87.49 0.125 27 64.88 64.46 0.420 7 85.17 84.49 0.675 28 63.00 63.23 0.234 8 84.51 85.26 0.747 29 64.42 64.22 0.199 9 83.92 83.83 0.0938 30 64.29 62.42 0.134 10 84.3 84.84 0.536 31 60.13 59.34 0.585 11 81.84 82.37 0.530 32 58.88 59.14 0.260 12 79.96 81.09 1.13 33 60.95 60.74 0.210 13 80.53 79.61 0.920 34 58.36 58.16 0.200 14 79.32 79.37 0.052 35 56.67 56.28 0.388 15 76.81 77.98 1.170 36 55.65 56.03 0.379 16 78.18 77.27 0.913 37 52.80 52.26 0.541 17 76.62 77.32 0.699 38 51.85 51.19 0.661 18 74.73 73.37 1.360 39 51.33 50.22 1.110 19 73.64 73.89 0.250 40 50.21 49.32 0.891 20 72.03 71.46 0.569 41 49.31 48.31 0.996 21 72.38 72.27 0.133 4 L* Fig.4 L* of chroma in testing set 41 1 5 L* (R 2 ) 99.74% 0.636% 5 L* 5 L* Fig.5 Fitting model of L* detected by near-infrared and spectrophotometer 4 a.
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