• DocumentCode
    2042395
  • Title

    Recognition of scenery images considering positional relation using Fuzzy Inference Neural Networks

  • Author

    Yamamura, Atsushi ; Hagiwara, Masafumi

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1205
  • Abstract
    In this paper, we propose a new system for recognition of scenery images, by learning. The proposed system consists of 2 parts. One is the part which infers based on absolute position of target. The other is the part which infers based on relative position of target. Each part consists of Fuzzy Inference Neural Network (FINN) which can extract fuzzy if-then rules automatically. So the system can extract knowledge about absolute position and relative position. Through computer experiments, it can be seen that the proposed system can recognize the image much correctly
  • Keywords
    fuzzy neural nets; image recognition; image segmentation; inference mechanisms; learning (artificial intelligence); fuzzy inference neural network; image recognition; learning; neural network; regional segmentation; rule extraction; scenery images; Application software; Color; Computer science; Data mining; Fuzzy neural networks; Image recognition; Image segmentation; Neural networks; Pixel; Regions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.973084
  • Filename
    973084