• DocumentCode
    2678597
  • Title

    An approach on characteristic lines extracting of gray images using moment of inertia

  • Author

    Liang, Nan ; Guo, Lei ; Wang, Ying

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
  • Volume
    5
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    379
  • Lastpage
    382
  • Abstract
    A novel method on characteristic lines extracting of digital images is presented in this paper by using the moment of inertia theory, which is used to extract the characteristic lines in digital images through treating them as rigid bodies. The characteristic lines process scale and rotation invariant inherently. Experimental results manifest that using the angle difference between characteristic lines in an original image and a rotated and scale changed image. The rotation angle of this image can be calculated correctly. The characteristic line can be also used to detect the symmetry axis of a symmetry region.
  • Keywords
    feature extraction; characteristic lines; gray image extraction; moment of inertia theory; process scale; rotation angle; rotation invariant; symmetry axis detection; Automation; Digital images; Educational institutions; Pixel; Rotation measurement; characteristic line; gray image; moment of inertia; scale and rotation invariant; symmetry axis detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5487085
  • Filename
    5487085