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Objective pilling evaluation of nonwoven fabrics

Zhang, Junmin, Wang, Xungai and Palmer, Stuart 2010, Objective pilling evaluation of nonwoven fabrics, Fibers and polymers, vol. 11, no. 1, pp. 115-120.

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Title Objective pilling evaluation of nonwoven fabrics
Author(s) Zhang, Junmin
Wang, Xungai
Palmer, Stuart
Journal name Fibers and polymers
Volume number 11
Issue number 1
Start page 115
End page 120
Total pages 6
Publisher Springer Netherlands
Place of publication Amsterdam, The Netherlands
Publication date 2010
ISSN 1229-9197
1875-0052
Keyword(s) nonwoven
pilling
objective evaluation
complex wavelet transform
neural network
fibre science
Summary A pilled nonwoven fabric image consists of brightness variations caused by high frequency noise, randomly distributed fibers, fuzz and pills, fabric surface unevenness, and background illumination variance. They have different frequency and space distributions and thus can be separated by the two-dimensional dual-tree complex wavelet transform reconstructed detail and approximation images. The energies of the six direction detail sub-images, which capture brightness variation caused by fuzz and pills of different sizes, quantitatively characterize the pilling volume distribution at different directions and scales. They are used as pilling features and inputs of neural network supervised classifier. The initial results based on a nonwoven wool fabric standard pilling test image set, the Woolmark®‚ SM 50 Blanket set, suggest that this objective pilling evaluation method developed by the combination of pilling identification, characterization method and neural network supervised classifier is feasible.
Language eng
Field of Research 091012 Textile Technology
Socio Economic Objective 860403 Natural Fibres, Yarns and Fabrics
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
HERDC collection year 2010
Copyright notice ©2010, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30032252

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.