• DocumentCode
    314905
  • Title

    A colour histogram clustering technique for tissue analysis of healing skin wounds

  • Author

    Berriss, W.P. ; Sangwine, S.J.

  • Author_Institution
    Reading Univ., UK
  • Volume
    2
  • fYear
    1997
  • fDate
    14-17 Jul 1997
  • Firstpage
    693
  • Abstract
    A method for automatically quantifying the proportions of healthy granulation tissue in a healing skin wound using true colour image processing is described. A novel technique is proposed, involving the computation of the 3D RGB histogram of colour wound images and operations on it. Clustering of bins in the colour histogram has been used to achieve automatic segmentation of the different tissue types within the wound site: granulation tissue, slough and necrotic tissue. The technique makes use of the colour information in terms of RGB co-ordinates, rather than treating the R, G and B components separately
  • Keywords
    image segmentation; 3D RGB histogram; RGB co-ordinates; automatic segmentation; clustering; colour histogram clustering technique; granulation tissue; healing skin wounds; healthy granulation tissue; necrotic tissue; slough tissue; tissue analysis;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and Its Applications, 1997., Sixth International Conference on
  • Conference_Location
    Dublin
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-692-X
  • Type

    conf

  • DOI
    10.1049/cp:19970984
  • Filename
    615616