• DocumentCode
    2228995
  • Title

    Edge Detection of Skin Lesions Using Anisotropic Diffusion

  • Author

    Pires, Vincius Borges ; Barcelos, Celia A Zorzo

  • Author_Institution
    Fed. Univ. of Uberlandia, Uberlandia
  • fYear
    2007
  • fDate
    20-24 Oct. 2007
  • Firstpage
    363
  • Lastpage
    370
  • Abstract
    In this paper the problem of skin lesions segmentation is studied. The clinical diagnosis of skin lesions is not an easy task for dermatologists. The segmentation method that makes the extraction of important characteristics of the image as edges possible, can also aid the dermatologists doctors in the diagnosis of lesions. In this paper we propose a segmentation method that combines partial differential equations and the Canny edges detector to the automatic detection of edges. Experimental results show the efficacy of the method proposed even when the lesion is noisy or contains hair.
  • Keywords
    edge detection; image segmentation; medical image processing; partial differential equations; skin; Canny edges detector; anisotropic diffusion; clinical diagnosis; dermatologists doctors; edge detection; partial differential equations; skin lesions segmentation; Active contours; Anisotropic magnetoresistance; Detectors; Image edge detection; Image segmentation; Intelligent systems; Lesions; Malignant tumors; Partial differential equations; Skin cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-0-7695-2976-9
  • Type

    conf

  • DOI
    10.1109/ISDA.2007.139
  • Filename
    4389635