• DocumentCode
    3569086
  • Title

    Polynomial pulp fiber modeling

  • Author

    Huttunen, Heikki ; Oinonen, Hannu ; Selinummi, Jyrki ; Ruusuvuori, Pekka ; Voipio, Ville

  • Author_Institution
    Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2012
  • Firstpage
    2099
  • Lastpage
    2103
  • Abstract
    This paper proposes an automatic measurement algorithm for calculating statistics of pulp fiber lengths and curvature. The fibers are extracted from digital images, and a parametric model is fit to the extracted objects. The modeling approach improves the robustness of the detection and enables connecting broken fiber parts into full length curves. The developed algorithm is compared to an alternative method, and concluded to yield similar results while providing additional features, such as curvature estimates, of the detected fibers.
  • Keywords
    image processing; natural fibres; paper industry; polynomials; production engineering computing; automatic measurement algorithm; broken fiber parts; curvature estimates; digital images; full length curves; parametric model; polynomial pulp fiber modeling; pulp fiber curvature; pulp fiber lengths; statistics; Histograms; Image segmentation; Manuals; Noise; Optical fiber testing; Polynomials; Skeleton; Fiber; Image Analysis; Image Modeling; Length Distribution; Pulp;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334161