• DocumentCode
    301526
  • Title

    3-D polyhedral object recognition using fuzzy indicators

  • Author

    Ayala-Ramirez, V. ; Jaime-Rivas, Rae ; Pineda-Castillo, Jose

  • Author_Institution
    FIMEE, Univ. de Guanajuato, Salamanca, Mexico
  • Volume
    2
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    1873
  • Abstract
    Fuzzy logic has been used during the past years for determination and analysis of visual properties and spatial relations in object regions, a fundamental key for the object recognition problem. Here we present a method which quantifies the number of sides of each region of an object of a light intensity image, a measurement that can be used as a helpful aid to identify objects. We add this new property, the fuzzy number of sides, to other fuzzy measurements commonly used in object identification, such as area, diameter, roundness, and elongatedness, and we obtain a useful improvement in reliability for object recognition
  • Keywords
    computer vision; fuzzy logic; fuzzy set theory; object recognition; stereo image processing; 3D polyhedral object recognition; elongatedness; fuzzy indicators; fuzzy logic; fuzzy number; light intensity image; roundness; spatial relations; Area measurement; Character recognition; Fuzzy logic; Fuzzy systems; Humans; Image segmentation; Mathematical model; Object recognition; Shape; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.538048
  • Filename
    538048