Browse > Article

A New Characterizing Method for Recycled Paper and the Application of Image Segmentation on the Measurement Sub-visible Dirt  

Dong, Shijin (Department of Chemistry, Jilin University)
Zhang, Haitao (Department of Chemistry, Jilin University)
Cui, Xuejun (Department of Chemistry, Jilin University)
Li, Junfeng (Department of Chemistry, Jilin University)
Wang, Hongyan (Department of Chemistry, Jilin University)
Publication Information
Journal of Korea Technical Association of The Pulp and Paper Industry / v.40, no.5, 2008 , pp. 11-19 More about this Journal
Abstract
The paper established a new method for fast measurement and characterizing of sub-visible dirt of recycled paper which is too small to be seen with naked eye. This method provided a new way for the evaluation of recycled paper that is hard to be characterized by the conventional method. Two effective thresholding algorithms HA and SDA were compared and their applicable conditions were discussed. Results showed that the HA could be used for un-printed paper while SDA is suited for recycled papers. The gloss of paper samples was measured and the relation between gloss and sub-visible dirt was investigated. The significant effect of this method for characterizing and comparing paper was exhibited. The experiment results indicated that sub-visible dirt measuring method could be a complementariness of the conventional methods.
Keywords
recycled paper; sub-visible dirt; image analysis; threshold; gloss;
Citations & Related Records

Times Cited By SCOPUS : 1
연도 인용수 순위
1 Voith, S.and Stoffaifbereitung, R., State of the art and new technologies in flotation deinking International Journal of Mineral Processing, 563: 17-333(1999)
2 M. Sezgin and B. Sankur,Survey over image thresholding techniques and quantitative performance evaluation, J Electron Imag, 13; 146-168 (2004)   DOI   ScienceOn
3 Glowacki, J. J., Dirt analysis system: creating a new standard, Pulp& Paper, 70; 143-144, (1996)
4 Torniainen, J. E., Derhjelm.S.A.S, and Youd. G. Result of automatic dirt counting using transmiteed light, TAPPI Journal, 82; 194-197 (1999)
5 F. Duarte,H.Araujo, and A. Dourado, An automatic system for dirt in pulp inspection using hierarchical image segmentation, Computer & industrial engineering, 37: 343-346 (1999)   DOI
6 Kawabata, Y., Introduction of DCW: Fast and accurate measurement of on-line dirt count system, Japan TAPPI Journal, 56; 34-39 (2002)
7 U. Viestur, M. Leite M. and Eisimonte, Biological deinking technology for the recycling of waste papers, Bioresour.Technol.67; 255-267 (1999)   DOI   ScienceOn
8 W. T., Wen, C. H., Yang, C. W., A fast two-dimensional entropic thresholding algorithm, Pattern Recognition. 27; 885-893(1994)   DOI   ScienceOn
9 Faltas, R., Papadopoulos, P., Vanderhoek, N. and Reich, M., Measurement of dirt count using a scanner- based image analysis system, Apptia Journal. 53; 476-482(2000)
10 Jordan, D. B. and Nguyen, N.G., Dirt Counting with Microcomputers, Journal of pulp and Paper Science May; 73-77 (1985)
11 Wang, Q. and Chi, Z.R.,Image thresholding by Maximizing the Index of Nonfuzziness of the 2-D grayscale histogram, Computer vision and image understanding 85; 100-116(2002)   DOI   ScienceOn
12 Keivan, T., Saed, S., Stephen, T. and Balke,A., image thresholding for real-time particle monitoring Imaging, Syst Technol, 16; 9-14 (2006)