Using laser speckle to measure the roughness of paper
Source abstract
Abstract
Paper surface roughness is an important consideration in paper and board destined for printing. The amount of coating and method of application depend on the roughness of the base paper. We present a method to measure the roughness of the paper based on analysis of speckle pattern on the surface. Images are captured by means of a simple configuration using a laser and a charge-coupled device (CCD) camera. Then, we apply digital image processing using a co-occurrence matrix, providing for a noncontact surface profiling method that can be used online.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Surface Roughness and Optical Measurements · Industrial Vision Systems and Defect Detection · Optical measurement and interference techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (27)
Show source-provided references
1. Corte, H., in Handbook of Paper Science, Vol 2: The Structure and Physical Properties of Paper (H.F. Rance, Ed.), Elsevier, Amsterdam, The Netherlands, 1982, pp. 157-282.
2. Cresson, T. and Luner, P., Tappi J. 73(12): 175(1990).
3. Bonham, J.S., Reich, M., and Faltas, R., Appita J. 59(4): 302(2006).
4. Rance, H.F., Ed., Handbook of Paper Science (Vol. 2), Elsevier Scientific Publishing, Amsterdam, The Netherlands, 1998, Chap. 8.
5. Rakels, J.H., Proc. SPIE, Vol. 1009, 1988, pp. 119–125.
6. Kajanto, I., Laamanen, J., and Kainulainen, M., Paper Bulk and Surface, in Paper Physics series, Vol. 16, (K. Niskanen, Ed.), Fapet Oy, Helsinki, Finland, 1998, pp. 89-115.
7. Whitehouse, D.J., Handbook of Surface and Nanometrology, Institute of Physics, Bristol, UK, 2003, Chaps. 2, 7.10.1887/0750305835 ↗
8. Goodman, J.W., Speckle Phenomena in Optics: Theory and Applications, Roberts & Company Publishers, Englewood, CO, USA, 2006, Chaps. 1-4, 8.
9. Asakura T., Proc. SPIE, Vol. 1009, 1988, pp. 111-118.
10. Dainty, J.C. in Laser Speckle and Related Phenomena (Topics in Applied Physics, Vol. 9, J.C. Dainty, Ed.), Springer-Verlag, Berlin, 1984, pp. 9–75.
11. Pedersen, H.M., J. Opt. Soc. Am. 66(11): 1204(1976).10.1364/JOSA.66.001204 ↗
12. Duncan, D.D., Kirkpatrick, S.J., and Wang, R.K., J. Opt. Soc. Am. A 25(1): 9(2008).10.1364/JOSAA.25.000009 ↗
13. Briers, J.D., Proc. Symp. Photonics Technol., 7th Framework Program, Wroclaw, 2006, pp. 328-332.
14. Cheng, C., Liu, C., Zhang, N., et al., Appl. Opt. 41(20): 4148(2002).10.1364/AO.41.004148 ↗
15. Fujii, H., Asakura, T., and Shindo, Y., J. Opt. Soc. Am. 66(11): 1217(1976).10.1364/JOSA.66.001217 ↗
16. Chandley, P.J. and Escamilla, H.M., Opt. Commun. 29(2): 151(1979).10.1016/0030-4018(79)90005-1 ↗
17. Léger, D. and Perrin, J.C., J. Opt. Soc. Am. 66(11): 1210(1976).10.1364/JOSA.66.001210 ↗
18. Ruffing, B., J. Opt. Soc. Am. A 3(8): 1297(1986).10.1364/JOSAA.3.001297 ↗
19. Fricke-Begemann, T. and Hinsch, K.D., J. Opt. Soc. Am. A 21(2): 252(2004).10.1364/JOSAA.21.000252 ↗
20. Chang, S.I. and Ravathur, J.S., Qual. Eng. 17(3): 435(2005).10.1081/QEN-200059881 ↗
21. Kiran, M.B., Ramamoorthy, B., and Radhakrishnan, V., Int. J. Mach. Tools Manuf. 38(5): 685(1998).10.1016/S0890-6955(97)00118-1 ↗
22. Latif-Amet, A., Ertüzün, A., and Erçil, A., Image Vision Comput. 18(6-7): 543(2000).10.1016/s0262-8856(99)00062-1 ↗
23. Gadelmawla, E.S., NDT & E Int. 37(7): 577(2004).10.1016/j.ndteint.2004.03.004 ↗
24. Lee, C., Chao, Y.J., IEEE Int. Conf. Rob. Autom. 4, IEEE, Piscataway, NJ, USA, 1987, pp. 520–524.
25. Haralick, R.M., Shanmugam, K., and Dinstein, I., IEEE Trans. Syst. Man Cybern. 3(6): 610(1973).10.1109/TSMC.1973.4309314 ↗
26. Haralick, R., Proc. IEEE 67(5): 786(1979).10.1109/PROC.1979.11328 ↗
27. Hall-Beyer, M., The GLCM tutorial home page, 2007, available at http://www.fp.ucalgary.ca/mhallbey/tutorial.htm.