International Journal of Medical Informatics
Volume 49, Issue 2 , Pages 231-241, April 1998

Cellular automata and follicle recognition problem and possibilities of using cellular automata for image recognition purposes

  • B Viher

      Affiliations

    • Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000 Maribor, Slovenia
    • Corresponding Author InformationCorresponding author. E-mail: bogdan.viher@uni-mb.si
  • ,
  • A Dobnikar

      Affiliations

    • Faculty of Computer and Information Science,University of Ljubljana, Tržaška 25, 1000 Ljubljana, Slovenia
  • ,
  • D Zazula

      Affiliations

    • Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000 Maribor, Slovenia

Abstract 

Cellular automata are discrete dynamical systems whose behaviour is completely specified in terms of a local relation. Guided by a suitable recipe, they can simulate a whole hierarchy of structures and phenomena. While investigating the problem of follicle recognition in ultrasonic images of women’s ovaries, we became increasingly interested in using cellular automata for this purpose. We were very successful, which encouraged us to further investigate the use of cellular automata for image recognition purposes in general. This paper presents the results of our research in this area, along with the details of how we solved the follicle recognition problem.

Keywords:  Cellular automata, Image recognition, follicle detection

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PII: S1386-5056(98)00042-2

International Journal of Medical Informatics
Volume 49, Issue 2 , Pages 231-241, April 1998