Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/42655
Título: | Yarn features extraction using image processing and computer vision: a study with cotton and polyester yarns |
Autor(es): | Gonçalves, Nuno Carvalho, Vítor Belsley, M. Vasconcelos, Rosa Soares, Filomena Machado, José |
Palavras-chave: | Yarn linear mass Yarn diameter Yarn hairiness Image processing Computer vision IMAQ vision |
Data: | 2015 |
Editora: | Elsevier 1 |
Revista: | Measurement |
Resumo(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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/42655 |
DOI: | 10.1016/j.measurement.2015.02.010 |
ISSN: | 0263-2241 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DET/2C2T - Artigos em revistas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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6.3.40.pdf Acesso restrito! | 3,13 MB | Adobe PDF | Ver/Abrir |