• DocumentCode
    2967140
  • Title

    Creature recognition and identification by image processing based on expert system

  • Author

    Fukuda, Toshio ; Hasegawa, Osamu

  • Author_Institution
    Dept. of Mech. Eng., Nagoya Univ., Japan
  • fYear
    1989
  • fDate
    14-17 Nov 1989
  • Firstpage
    837
  • Abstract
    An automatic organisms recognition and identification method for a micromanipulator system, using image processing based on an expert system, is described. The proposed method is based on the organism image segmentation method (OISM), which takes advantage of characteristic segment features that are independent of individual size and length. The complicated shapes of the organisms are divided into basic shape segments such as lines, circles, ovals, etc. The relation between segments are analyzed and described in the database of the expert system automatically. Organisms are then expressed simply by a set of segments, so that their individual differences are avoided. Tracking the movement of an organism by its image is also shown. The effectiveness of this method is confirmed by experimental results
  • Keywords
    biology computing; computerised pattern recognition; expert systems; database; expert system; identification; image processing; image segmentation; organisms recognition; Expert systems; Image databases; Image processing; Image recognition; Image segmentation; Micromanipulators; Organisms; Shape; Spatial databases; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
  • Conference_Location
    Cambridge, MA
  • Type

    conf

  • DOI
    10.1109/ICSMC.1989.71411
  • Filename
    71411