• DocumentCode
    1569376
  • Title

    Vector Field Convolution for Image Segmentation using Snakes

  • Author

    Li, Bing ; Acton, Scott T.

  • Author_Institution
    Virginia Univ., Charlottesville, VA, USA
  • fYear
    2006
  • Firstpage
    1637
  • Lastpage
    1640
  • Abstract
    Snakes, or active contours, have been widely used in image processing applications. Typical roadblocks to consistent performance include limited capture range, noise sensitivity, and poor convergence to concavities. This paper proposes a new design for the snake external force, called vector field convolution (VFC), to address these problems. Qualitative and quantitative comparisons with the gradient vector flow (GVF) external force are presented in this paper to show the advantages of this innovation.
  • Keywords
    convolution; image segmentation; GVF external force; VFC; active contours; gradient vector flow; image processing; image segmentation; snakes; vector field convolution; Active contours; Computational efficiency; Convergence; Convolution; Equations; Image processing; Image segmentation; Kernel; Noise reduction; Technological innovation; Image processing; image segmentation; image shape analysis; object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312619
  • Filename
    4106860