• DocumentCode
    457081
  • Title

    Automatic Surveying of Cutaneous Hemangiomas

  • Author

    Zambanini, Sebastian ; Langs, Georg ; Sablatnig, Robert ; Donath, Peter ; Maier, Harald

  • Author_Institution
    Pattern Recognition & Image Process. Group, Vienna Univ. of Technol.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1022
  • Lastpage
    1025
  • Abstract
    This paper presents a method for the fully automatic surveying of cutaneous hemangiomas by means of a hemangioma segmentation and a ruler visible in the images. The algorithm computes the spatial resolution of an image. Hemangioma segmentation is accomplished by a single-layer perceptron classification by means of pixel color features. The algorithm was evaluated on a set of 120 images. It achieves satisfactory results on images with clearly visible, saturated hemangiomas
  • Keywords
    image colour analysis; image resolution; image segmentation; medical image processing; tumours; automatic surveying; cutaneous hemangiomas; hemangioma segmentation; pixel color feature; single-layer perceptron classification; Area measurement; Biomedical imaging; Computer graphics; Image processing; Image segmentation; Lesions; Neoplasms; Pattern recognition; Pixel; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.309
  • Filename
    1699062
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=457081