• DocumentCode
    384358
  • Title

    Improved MSEL and its medical application

  • Author

    Huiguang, He ; Jie, Tian ; Jing, Wang ; Hong, Chen ; Zhang XP

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    597
  • Abstract
    Edge detection is the basic operation in image processing and analysis. Multiresolution sequential edge linking (MSEL) Cook and Delp (1995) has a number of advantages over other edge detection schemes, such as lower false alarm rates while maintaining full connectivity of the edge. However, it is not reasonable in the initial value selection and is time consuming. For this problem, we first use anisotropic diffusion to smooth the image while keeping the edge, and then use the feedback method to optimize the initial value. We apply our method to a medical image, and experiments show that our method is more efficient and accurate than the old MSEL.
  • Keywords
    Markov processes; edge detection; medical image processing; search problems; Markov random chain; anisotropic diffusion; edge detection; feedback method; full connectivity; image smoothing; medical image; multiresolution sequential edge linking; Anisotropic magnetoresistance; Biomedical equipment; Biomedical imaging; Feedback; Image analysis; Image edge detection; Image processing; Joining processes; Medical services; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048373
  • Filename
    1048373