• DocumentCode
    965756
  • Title

    Detection of skin tumor boundaries in color images

  • Author

    Ercal, F. ; Moganti, M. ; Stoecker, W.V. ; Moss, R.H.

  • Author_Institution
    Dept. of Comput. Sci., Missouri Univ., Rolla, MO, USA
  • Volume
    12
  • Issue
    3
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    624
  • Lastpage
    626
  • Abstract
    A simple and yet effective method for finding the borders of tumors is presented as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tumor from the background. Using this suitable coordinate transformation, the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results that verify the effectiveness of this approach are given
  • Keywords
    medical image processing; photographic applications; skin; 35 mm colour photographic slides; adaptive color metric; color images; coordinate transformation; medical diagnostic technique; segmented image; skin tumor boundaries detection; Cancer detection; Color; Data mining; Histograms; Humans; Image edge detection; Image segmentation; Object detection; Skin neoplasms; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.241892
  • Filename
    241892