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Performance of an objective fabric pilling evaluation method

Zhang, Junmin, Wang, Xungai and Palmer, Stuart 2010, Performance of an objective fabric pilling evaluation method, Textile research journal, vol. 80, no. 16, pp. 1648-1657.

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Title Performance of an objective fabric pilling evaluation method
Author(s) Zhang, Junmin
Wang, Xungai
Palmer, Stuart
Journal name Textile research journal
Volume number 80
Issue number 16
Start page 1648
End page 1657
Total pages 10
Publisher Sage Publications
Place of publication London, England
Publication date 2010-10
ISSN 0040-5175
1746-7748
Keyword(s) fabric pilling
objective evaluation
wavelet transform
neural network classifier
knitted fabric
fibre science
Summary In previous work, we established the principle of objective fabric pilling evaluation based on two-dimensional dual-tree complex wavelet transform (2DDTCWT) image reconstruction and non-linear classification using a neural network. This proof-of-principle work was performed using standard pilling test images. Here, we demonstrate the practical operation of the objective pilling evaluation method using a large set of real fabric pilling samples. We show that piling classification results from a trained multiple-layer perceptron neural network achieve a regression correlation of approximately 96% with the corresponding human expert pilling ratings.
Language eng
Field of Research 091012 Textile Technology
080106 Image Processing
Socio Economic Objective 860499 Leather Products, Fibre Processing and Textiles not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, Sage Publications
Persistent URL http://hdl.handle.net/10536/DRO/DU:30030360

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Created: Wed, 22 Sep 2010, 14:08:20 EST by Stuart Palmer

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.