• DocumentCode
    2895699
  • Title

    Fuzzy External Force for Snake

  • Author

    Arshizadeh, Rahman ; Ebadzadeh, Mohammad Mehdi

  • Author_Institution
    Sci. & Res. Branch, Comput. Dept., Islamic Azad Univ., Tehran, Iran
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    376
  • Lastpage
    381
  • Abstract
    Snake, or active contours, have been used extensively in image segmentation. However, all present snake models use mathematical formula in external force and minimize it mathematically to propagate gradient vectors and extend capture range which it has some complexities. In this paper, a new type of external force for snakes named fuzzy external force (FEF) is proposed that uses fuzzy logic to diffuse gradient vectors of images. It makes edges fuzzy by using fuzzy sets in x and y directions separately. Experimental results demonstrate that the FEF snake provides segmentation as well as GVF based methods with less mathematical complexity and faster convergence.
  • Keywords
    fuzzy set theory; gradient methods; image segmentation; active contours; fuzzy external force; fuzzy logic; fuzzy sets; gradient vectors; image segmentation; mathematical complexity; snake models; Active contours; Computer vision; Deformable models; Fuzzy logic; Fuzzy sets; Image edge detection; Image processing; Image segmentation; Information technology; Mathematical model; Boundary detection; deformable models; fuzzy active contour; gradient vector flow; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-6270-4
  • Type

    conf

  • DOI
    10.1109/ITNG.2010.202
  • Filename
    5501699