Yarn features extraction using image processing and computer vision – A study with cotton and polyester yarns

•Measurement of yarn mass parameters using IP and computer vision techniques.•Detection and distinction between loop and protruding fibers (yarn hairiness).•Developed solution validated with a commercial apparatus.•Custom made application for user interface with IMAQ Vision – LabVIEW. The aim of thi...

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Veröffentlicht in:Measurement : journal of the International Measurement Confederation Jg. 68; S. 1 - 15
Hauptverfasser: Gonçalves, Nuno, Carvalho, Vítor, Belsley, Michael, Vasconcelos, Rosa M., Soares, Filomena O., Machado, José
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.05.2015
Schlagworte:
Computer vision
Image processing
IMAQ vision
Yarn diameter
Yarn hairiness
Yarn linear mass
Yarn linear mass
Computer vision
Yarn hairiness
IMAQ vision
Yarn diameter
Image processing
ISSN:0263-2241, 1873-412X
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Beschreibung
Zusammenfassung:•Measurement of yarn mass parameters using IP and computer vision techniques.•Detection and distinction between loop and protruding fibers (yarn hairiness).•Developed solution validated with a commercial apparatus.•Custom made application for user interface with IMAQ Vision – LabVIEW. 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.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2015.02.010