A Study on Color Difference Discrimination for PVC Deco-Film using Entry-Level Digital Device
Though digital imaging devices such as smart phones, digital cameras and office scanners have improved significantly over the past years, they are seldom used for industrial application. This may be attributable to high level of quality and performance requirement for industrial application, but there lacks a test or an objective evaluation whether the upgraded performance of entry-level device is sufficiently enough to replace existing industrial equipments or not. If there exists an industrial application area where the applicability of entry-level equipment is proved by some objective tests, then companies will be able to reduce investment on expensive industrial equipment. In this study, applicability of entry-level digital devices for color difference discrimination of PVC (Polyvinyl chloride) color sheet is tested. By testing smart phone, digital camera, and office scanner for color difference discrimination, authors have found that office scanner shows consistent result with less measurement error. Additional experiment on comparing office scanner with industrial spectrophotometer has confirmed that there exists high correlation between the two devices’ results. Based on this result, office scanner may be applicable to discriminate the color difference of PVC sheet instead of expensive industrial spectrophotometer if proper management criteria are established.
Billmeyer, F. W. and Saltzman, M., Principles of Color Technology, 2nd Edition, John Wiley & Sons, pp. 98-107, 1981.
Choi, S. H., “Application of Real Time Multimedia Communication to Web Malls,” Proceedings of the CALSEC Conference 1999, Jul., Vol. 1, pp. 349-354, 1999.
Chung, B. M., Cho, C. S., and Park, M. J., “Color Inspection of Printed Texture using Scanner and NN model,” IEEE (ICIT), pp. 1100-1105, 2004.
CIE(1932), Commission internationale de l’Eclairage proceedings, Cambridge University Press, Cambridge, 1931.
CIE 1319 Color Space, https://ko.wikipedia.org/wiki/CIE_1931_%EC%83%89_%EA%B3%B5%EA%B0%84, 2016.
Filho, J. P., Petruci, J. F. D. S., and Cardoso, A. A., “Development of a simple method for determination of NO2 in air using digital scanner images,” Talanta, Vol. 140, pp. 73-80, 2015.
Gamble, T. A., “Document Imaging & Conversion And the Application of Standards,” Proceedings of the CALSEC Conference, 1998, Oct., Vol. 1, pp. 141-148, 1998.
Guild, J., “The colorimetric properties of the spectrum,” Philosophical Transactions of the Royal Society of London A, Vol. 230, pp. 149-187, 1931.
Holmes, J. G., “The Use of Uniform Chromaticity Scales,” Proceedings of the Physical Society, Vol. 52, No. 3, p. 359, 1940.
Hunter, R. S., “Accuracy, Precision, and Stability of New Photo-electric Color-Difference Meter,” Journal of the Optical Society of America, Vol. 38, No. 12, p. 1094, (Proceedings of the Thirty-Third Annual Meeting of the Optical Society of America), 1948.
Hunter, R. S., “Photoelectric Color-Difference Meter,” Journal of the Optical Society of America, Vol. 38, No. 7, p. 651, 1948.
Jain, A. K., Fundamentals of Digital Image Processing, Prentice-Hall, 1989.
Kurabayashi, T., “Time Characteristics of Inspectors,” Ergonomics, Vol. 27, No. 7, pp. 781-788, 1984.
Lim, C. S., Choi, B. G., and Yoon, Y. G., “A Study on Business Processes and Corresponding Classifications of Digital Contents Industries,” The Journal of Society for e-Business Studies, Vol. 7, No. 3, pp. 105-120, 2002.
Lindbloom, B., 3D representations of the L*a*b* gamut, http://www.brucelindbloom.com/index.html?WorkingSpaceInfo.html, 2016.
Margulis, D., Photoshop Lab Color: The Canyon Conundrum and Other Adventures in the Most Powerful Colorspace, Pearson Education, ISBN 0-321-35678-0, 2006.
Meng, X., Schultz, C. W., Cui, C., Li, X., and Yu, H.-Z., “On-site chip-based colorimetric quantitation of organophosphorus pesticides using an office scanner,” Sensors and Actuators B: Chemical, Vol. 215, pp. 577-583, 2015.
Meyer, G. W., Greenberg, D. P., “Perceptual color spaces for computer graphics,” ACM SIGGRAPH Computer Graphics, Vol. 14, pp. 254-261, 1980.
Morovič, J., Color Gamut Mapping, John Wiley & Sons, 2008.
Ohta, H., “Qualification of inspectors for Subjective Testing by Constellation Graph,” Human Factors, Vol. 25, No. 4, pp. 467-172, 1981.
Park, Y. S., Color, Yerim, ISBN 9788990905666, 2007.
RGB Color Codes Chart, http://www.rapidtables.com/web/color/RGB_Color.htm, 2016.
Rho, M.-J., Kim, J.-H., and Lee, J.-B., “An Exploratory Study on Smart-Phone and Service Convergence,” The Journal of Society for e-Business Studies, Vol. 15, No. 4, pp. 59-77, 2010.
Ryu, B. T., Kim, K. T., Ha, Y. S., Bae, J. W., Lee, S. B., Song, J. H., Lee, K. Y., Lee, J. D., Kim, K. H., and Kim, H. S., “New RGB Primary for Varius Multimedia System,” Journal of Information Display, Vol. 15, No. 2, pp. 65-70, 2014.
Schwabish, S. D. and Drury, C. G., “The Influence of Reflective-Impulsive Cognitive Style on Visual Inspection,” Human Factors, Vol. 26, No. 2, pp. 641-647, 1984.
Sharma, G. and Bala, R., Digital Color Imaging Handbook, CRC Press, 2002.
Smith, T. and Guild, J., “The C.I.E. colorimetric standards and their use,” Transactions of the Optical Society, Vol. 33, No. 3, pp. 73-134, 1931.
Smith, V. C. and Pokorny, J., “The design and use of a cone chromaticity space,” Color Research and Application, Vol. 21, pp. 375-383, 1996.
Spicer, C. W., Kenny, D. V., Ward, G. F., Billick, I. H., and Leslie, N. P., “Evaluation of NO2 Measurement Methods for Indoor Air Quality Applications,” Air & Waste, Vol. 44, No. 2, pp. 163-168, 1994.
Stubbings, T. C. and Hutter, H., “Peer previewed: combining multispectral image information using color,” Analytical Chemistry, Vol. 72, pp. 282-288, 2000.
Togami, H., “Affects on Visual Search Performance of Individual Differences in Fixation Time and Number of Fixation,” Ergonomics, Vol. 20, No. 3, pp. 181-190, 1984.
Velioglu, H. M., Boyaci, I. H., and Kurultay, S., “Determination of visual quality of tomatp paste using computerized inspection system and artificial neural networks,” Computers and Electronics in Agriculture, Vol. 77, pp. 147-154, 2011.
Wang, M. J. and Drury, C. G., “A Method of Evaluating Inspector’s Performance Differences and Job Requirements,” Applied Ergonomics, Vol. 20, No. 3, pp. 181-190, 1989.
Wright, W. D., “A re-determination of the trichromatic coefficients of the spectral colours,” Transactions of the Optical Society, Vol. 30, pp. 141-164, 1928.
Wright, W. D., “The Graphical Representation of Small Color Differences,” Journal of the Optical Society of America, Vol. 33, No. 11, pp. 632-633, 1943.
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