Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/42655

TitleYarn features extraction using image processing and computer vision: a study with cotton and polyester yarns
Author(s)Gonçalves, Nuno
Carvalho, Vítor
Belsley, M.
Vasconcelos, Rosa
Soares, Filomena
Machado, José
KeywordsYarn linear mass
Yarn diameter
Yarn hairiness
Image processing
Computer vision
IMAQ vision
Issue date2015
PublisherElsevier
JournalMeasurement
Abstract(s)The aim of this paper is the development of a new technological solution, for the automatic characterization of the yarn mass parameters (linear mass, diameter, and hairiness) based on image processing and computer vision techniques. A preliminary study for the detection and distinction between loop and protruding fibers is also presented. A custom-made application developed in LabVIEW from National Instruments with the IMAQ Vision Toolkit was used to acquire, analyze and process the yarn images. Some experimental results using cotton and polyester yarns were performed and compared with a commercial solution for validation. The presented approach allows a correct yarn parameterization improving products’ quality in the textile industry.
TypeArticle
URIhttp://hdl.handle.net/1822/42655
DOI10.1016/j.measurement.2015.02.010
ISSN0263-2241
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DET/2C2T - Artigos em revistas internacionais com arbitragem científica

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