• DocumentCode
    318206
  • Title

    Boundary extraction algorithm based on particle motion in a vector image field

  • Author

    Eua-Anant, Nawapak ; Upda, L.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    732
  • Abstract
    This paper proposes a novel concept of a vector model for representing images. This opens up the possibility of performing vector operations on an image. A Gaussian weighted image moment vector operator is derived and used to generate an edge vector field. The vector field in turn is used to drive a particle. The particle trajectory in a force field is simulated to obtain a close object boundary. Results of implementing the algorithm in single and multiple object images under noisy condition are presented. The technique is simple, robust, fast, and achieves subpixel accuracy
  • Keywords
    Gaussian processes; edge detection; image representation; image segmentation; object recognition; optical noise; Gaussian weighted image moment vector operator; boundary extraction algorithm; close object boundary; edge vector field; force field; multiple object images; noisy condition; particle motion; particle trajectory; single object images; subpixel accuracy; vector image field; vector operations; Acceleration; Computational Intelligence Society; Computed tomography; Convolution; Equations; Gaussian noise; Gravity; Image edge detection; Image processing; Pixel; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.638600
  • Filename
    638600