Application of color detection by near infrared spectroscopy in color detection of printing

Transcription

1 40 6 ( ) Vol.40 No Journal of Central South University (Science and Technology) Dec , ( ; ) (NIR) (PLS) PLS (R 2 ) 99.74% 0.636% O A (2009) 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 , China; 2. School of Printing Engineering, Hangzhou Dianzi University, Hangzhou , 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 ( )( ) (1968 ) glm@hdu.edu.cn

2 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) [16] (Y) (M)(C)(K) [17] 1.2 () (a) (b) (a) 1 Fig.1 Four-color printing product and its local enlargement of selected area

3 L* a* b*( L*a* b*) L* a* b* ~2 500 nm( 4 000~ cm 1 ) [18] TQ6.2 (Thermo Nicolet) Bruker MPA 10 cm 2 cm 51 mm OPUS ~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 Savitzky-Golay 21 (MSC) OPUS 8 426~6 098 cm ~4 248 cm 1 2 Fig.2 Near infrared spectrum original spectra of printed matter OPUS (Savity-golay smoothing) 7 (MSC) [19] [20],, 2 L* a* b* L* a* b*

4 1658 ( ) L* 4 L* (R 2 ) 99.53% 0.812% 5 [21] R % 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 L* Fig.4 L* of chroma in testing set 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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