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Identification of animal fibers with wavelet texture analysis

Version 2 2024-06-05, 00:37
Version 1 2014-10-28, 09:03
conference contribution
posted on 2024-06-05, 00:37 authored by J Zhang, S Palmer, X Wang
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.

History

Pagination

742-747

Location

London, England

Start date

2010-06-30

End date

2010-07-02

ISSN

2078-0958

eISSN

2078-0966

ISBN-13

9789881701299

ISBN-10

9881701295

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2010, Newswood Limited / International Association of Engineers

Editor/Contributor(s)

Ao S, Gelman L, Hukins D, Hunter A, Korsunsky A

Title of proceedings

WCE 2010 : Proceedings of the World Congress on Engineering 2010

Event

World Congress on Engineering (2010 : London, England)

Publisher

Newswood Limited / International Association of Engineers

Place of publication

Hong Kong

Series

Lecture notes in Engineering and Computer Science

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