Abstract
The abrasion resistance of shell fabric is one of the most important performance indexes of quality evaluation. The evaluation of level of fabric hairiness and pilling is usually confined to manual methods. This paper has studied the hairiness and pilling of shell fabric on the base of MATLAB. A series image analysis steps include image preprocessing, eigenvalue calculation and level judgment. Level critical value can be worked out by computer after the percentage of pilling part is calculated. Test shows that the process of this paper is practical and effective.
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References
Jian, H., Chu, X.: Image processing application status and trends in the textile industry. China Textile University, 95–99 (1996)
The GBT 4802.1-2008 textile fabric pilling performance of the contents Part 1
Determination of the GBT propensity to surface fuzzing of textile fabric pilling performance Part 2
Zhou, Y.,Y., Pan, S., Gao, W.: Based on the standard sample according to the image analysis of fabric pilling ball ratings. Journal of Textile Research 30, 30–33 (2010)
Gao, S., Wang, L.: Matlab for pilling image wavelet de-noise processing of Textile Science and Technology. Computer Applications Edition 1, 37–39 (2005)
Shen, Y.: Textile pilling different ball test method comparison and evaluation. China Xianjian, 54–57 (2010)
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© 2012 Springer-Verlag Berlin Heidelberg
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Su, J., Han, R., Shi, L., Xiong, H., Qin, L. (2012). The Image Analysis of the Level of a Fabric’s Hairiness and Pilling Based on Matlab . In: Wang, F.L., Lei, J., Lau, R.W.H., Zhang, J. (eds) Multimedia and Signal Processing. CMSP 2012. Communications in Computer and Information Science, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35286-7_38
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DOI: https://doi.org/10.1007/978-3-642-35286-7_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35285-0
Online ISBN: 978-3-642-35286-7
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