• DocumentCode
    642876
  • Title

    2D fuzzy spatial relations and their applications to DICOM medical images

  • Author

    Jocic, M. ; Obradovic, Darko ; Konjovic, Zora ; Pap, Endre

  • Author_Institution
    Fac. of Tech. Sci., Dept. of Comput. & Autom., Univ. of Novi Sad, Novi Sad, Serbia
  • fYear
    2013
  • fDate
    26-28 Sept. 2013
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    In this paper we propose a model of fuzzy spatial relations, which can be used to describe imprecise spatial data on 2D images. This model defines relations very similar to those existing in natural language and reasoning, like “on the left side of the image”, “in the center of the image”, “right/left of”, “above/below of”, “(very) close to”, “(very) far from”, “at distance of”, etc. Composition operators and, or, not and subtract are defined in order to combine these basic fuzzy spatial relations into more complex ones. In addition, formula for calculating membership value of imprecise region to fuzzy spatial relation is defined. Proposed model is verified through the example of practical application on DICOM medical images.
  • Keywords
    fuzzy reasoning; fuzzy set theory; medical image processing; natural language processing; visual databases; 2D fuzzy spatial relations; 2D images; DICOM medical images; and operator; composition operators; natural language; not operator; or operator; reasoning; spatial data; subtract operator; DICOM; Data models; Digital images; Informatics; Intelligent systems; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4799-0303-0
  • Type

    conf

  • DOI
    10.1109/SISY.2013.6662609
  • Filename
    6662609