• DocumentCode
    2108859
  • Title

    Psoriasis segmentation through chromatic regions and Geometric Active Contours

  • Author

    Bogo, Federica ; Samory, M. ; Fortina, A. Belloni ; Piaserico, S. ; Peserico, E.

  • Author_Institution
    Dip. Ing. Inf., Univ. Padova, Padua, Italy
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    5388
  • Lastpage
    5391
  • Abstract
    We present a novel approach to the segmentation of psoriasis lesions in “full body” digital photographs potentially involving dozens or even hundreds of separate lesions. Our algorithm first isolates a set of zones that certainly correspond to lesional plaques based on chromatic information, and then expands these zones to achieve an accurate segmentation of plaques through a Geometric Active Contours method. The variability in segmentation between our algorithm and different human operators appears comparable to the variability between human operators.
  • Keywords
    diseases; image segmentation; medical image processing; photography; Geometric Active Contours method; chromatic region; full body digital photograph; lesions; psoriasis segmentation; Active contours; Humans; Image color analysis; Image segmentation; Lesions; Robustness; Skin; Algorithms; Humans; Psoriasis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347212
  • Filename
    6347212