Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/27424

TitleYarn parameterization and fabrics prediction using image processing
Author(s)Carvalho, Vítor
Gonçalves, Nuno
Soares, Filomena
Vasconcelos, Rosa
Belsley, M.
KeywordsYarn
Mass
Diameter
Hairiness
Image processing
Faults
Fabrics
Issue dateJan-2013
PublisherTlist Journal
JournalTextiles and Light Industrial Science and Technology
Abstract(s)This paper presents the main characteristics and functionalities of a system based on image processing techniques applied to quality assessment of yarns. In Textile Industry we used image processing to determine yarn mass parameters as well as yarn production characteristics. A low cost solution based on a web-pc camera plus the optics of a low cost analogue microscope and a software tool based on IMAQ Vision from LabVIEW was designed. Several tests were performed and compared with other methodologies of yarn parameterization validating the proposed solution. With the results one can support that this can be an alternative solution to the traditional yarn testers, with several advantages (among others, low cost, weight, volume, easy maintenance and reduced hardware). Moreover, this yarn parameterization can be used to assess the quality of the fabrics resultant.
TypeArticle
URIhttp://hdl.handle.net/1822/27424
ISSN2304-9421
Publisher versionhttp://www.tlist-journal.org
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CDF - FAMO - Artigos/Papers (with refereeing)
DET/2C2T - Artigos em revistas internacionais com arbitragem científica

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