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Identification of animal fibers with wavelet texture analysis

Zhang, Junmin, Palmer, Stuart and Wang, Xungai 2010, Identification of animal fibers with wavelet texture analysis, in WCE 2010 : Proceedings of the World Congress on Engineering 2010, Newswood Limited / International Association of Engineers, Hong Kong, pp. 742-747.

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Title Identification of animal fibers with wavelet texture analysis
Author(s) Zhang, Junmin
Palmer, Stuart
Wang, Xungai
Conference name World Congress on Engineering (2010 : London, England)
Conference location London, England
Conference dates 30 Jun. - 2 Jul. 2010
Title of proceedings WCE 2010 : Proceedings of the World Congress on Engineering 2010
Editor(s) Ao, S. I.
Gelman, Len
Hukins, David W. L.
Hunter, Andrew
Korsunsky, A. M.
Publication date 2010
Series Lecture notes in Engineering and Computer Science
Conference series World Congress on Engineering
Start page 742
End page 747
Total pages 6
Publisher Newswood Limited / International Association of Engineers
Place of publication Hong Kong
Keyword(s) cashmere fibers
image analysis
merino fibers
wavelet texture analysis
Summary This paper presents the use of the wavelet transform to extract fiber surface texture features for classifying cashmere and superfine merino wool fibers. Extracting features from brightness variations caused by the cuticular scale height, shape and interval provides an effective way for characterizing different animal fibers and subsequently classifying them. This may enable the development of a completely automated and objective system for animal fiber identification.
ISBN 9789881701299
9881701295
ISSN 2078-0958
2078-0966
Language eng
Field of Research 091012 Textile Technology
Socio Economic Objective 830311 Sheep - Wool
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2010
Copyright notice ©2010, Newswood Limited / International Association of Engineers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029439

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Created: Tue, 27 Jul 2010, 13:35:05 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.