• DocumentCode
    3222955
  • Title

    Analysing the structure of medical images with morphological size distributions

  • Author

    Behrens, Sabine ; Dengler, Joachim

  • Author_Institution
    German Cancer Res. Center, Heidelberg, Germany
  • Volume
    i
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    886
  • Abstract
    The morphological size distribution is introduced as a general concept for analyzing structures in binary as well as in grey-value images. The morphological transformation can be used to treat light and dark structures separately. Thus, it is possible to describe the objects in a configuration and the spaces between or convex and concave parts in analyzing the shape. Examples are given which demonstrate that, using the size distribution, it is possible to characterize texture, shape, and configuration
  • Keywords
    pattern recognition; picture processing; binary image; grey-value images; image structure analysis; medical images; morphological size distributions; pattern recognition; picture processing; shape analysis; texture; Anisotropic magnetoresistance; Biomedical imaging; Convolution; Distribution functions; Equations; Image analysis; Morphological operations; Pixel; Probability distribution; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.118235
  • Filename
    118235