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The robustness of objective fabric pilling evaluation method

Zhang, Junmin, Wang, Xungai and Palmer, Stuart 2009, The robustness of objective fabric pilling evaluation method, Fibers and polymers, vol. 10, no. 1, pp. 108-115.

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Title The robustness of objective fabric pilling evaluation method
Author(s) Zhang, Junmin
Wang, Xungai
Palmer, Stuart
Journal name Fibers and polymers
Volume number 10
Issue number 1
Start page 108
End page 115
Publisher Springer
Place of publication Amsterdam, Netherlands
Publication date 2009-02
ISSN 1875-0052
1229-9197
Keyword(s) objective fabric pilling evaluation
wavelet transform
neural network classifier
robustness
image variation
fibre science
Summary Previously, we proposed a new method to identify fabric pilling and objectively measure fabric pilling intensity based on the two-dimensional dual-tree complex wavelet reconstruction and neural network classification. Here we further evaluate the robustness of the method. Our results indicate that the pilling identification method is robust to significant variation in the brightness and contrast of the image, rotation of the image, and 2 i (i is an integer) times dilation of the image. The pilling feature vector developed to characterize the pilling intensity is robust to brightness change but is sensitive to large rotations of the image. As long as all fabric images are adjusted to have the same contrast level and the sample is illuminated from the same direction, the pilling feature vectors are comparable and can be used to classify the pilling intensity.
Language eng
Field of Research 091012 Textile Technology
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2009, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30021479

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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.