• DocumentCode
    724038
  • Title

    The study of detect the density of knitted fabric online based on the image

  • Author

    Zhang Xiaochao ; Li Ping ; Jin Fujiang

  • Author_Institution
    Huaqiao Univ., Xiamen, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1321
  • Lastpage
    1326
  • Abstract
    The measurement to the density of knitted fabric by person was time-consuming and discontinuous, which cannot satisfy the demand for controlling the density of knitted fabric online. In the paper, the method to detect the density of knitted fabric online based on the image is put forward. The image of knitted fabrics was dealt with the method of dynamic binarization algorithms. The yarns which can represent the vertical coils of knitted fabrics are extracted base on the texture of knitted fabrics; the number of yarns in the image can be counted. Then the coils are transformed to be regular geometry based on its shapes and get the number of coils. The density of knitted fabric can be calculated based on these data. At last, the result of experiments shows that this method is effective.
  • Keywords
    Internet; fabrics; image processing; production engineering computing; textile industry; woven composites; yarn; dynamic binarization algorithms; knitted fabric online density control; vertical coils; yarns; Coils; Density measurement; Fabrics; Geometry; Heuristic algorithms; Shape; Yarn; dynamic binarization algorithms; the detection for density of knitted fabric; the extraction of yarns; the geometric transformations for the coils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162123
  • Filename
    7162123