• DocumentCode
    1816444
  • Title

    Studies on the yarn mass parameters determination using Image Processing techniques

  • Author

    Goncalves, Nuno ; Carvalho, V. ; Soares, Filomena ; Vasconcelos, Rosa

  • Author_Institution
    R&D Centre Algoritmi, Univ. of Minho, Guimaraes, Portugal
  • fYear
    2012
  • fDate
    17-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a study on the development of a methodology to automatically determine yarn mass parameters using Image Processing (IP) techniques. The sample images were analyzed and processed through a custom made application developed in LabVIEW from National Instruments using IMAQ Vision Toolkit. The results show that a reliable diameter, mass and yarn faults determination can be obtained using IP techniques. Step-by-step algorithms used to determine yarn mass parameters are described. The presented approach allows improving products quality as well as the possibility of increasing the efficiency of the textile industry.
  • Keywords
    fault diagnosis; image processing; parameter estimation; product quality; production engineering computing; reliability; textile industry; virtual instrumentation; yarn; IMAQ vision toolkit; IP techniques; LabVIEW; National Instruments; automatic yarn mass parameter determination; image processing techniques; product quality; reliable diameter; step-by-step algorithms; textile industry; yarn fault determination; IMAQ Vision; Image Processing; Yarn mass paremeters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2012 IEEE 17th Conference on
  • Conference_Location
    Krakow
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4673-4735-8
  • Electronic_ISBN
    1946-0740
  • Type

    conf

  • DOI
    10.1109/ETFA.2012.6489765
  • Filename
    6489765