• DocumentCode
    1104434
  • Title

    Fuzzy methods for multisensor data fusion

  • Author

    Russo, Fabrizio ; Ramponi, Giovanni

  • Author_Institution
    Dept. of Electron. & Comput. Sci., Trieste Univ., Italy
  • Volume
    43
  • Issue
    2
  • fYear
    1994
  • fDate
    4/1/1994 12:00:00 AM
  • Firstpage
    288
  • Lastpage
    294
  • Abstract
    This paper presents a new general framework for information fusion based on fuzzy methods. In the proposed architecture, feature extraction and feature fusion are performed by adopting a class of (possibly multidimensional) membership functions which take care of the possibility and admissibility of the feature itself. Test cases of one-dimensional and image data fusion are presented
  • Keywords
    feature extraction; fuzzy logic; image processing; intelligent sensors; sensor fusion; 1D information fusion; feature extraction; feature fusion; fuzzy method; fuzzy methods; image data fusion; information fusion; multisensor data fusion; Acoustic signal detection; Application software; Data mining; Face detection; Fault diagnosis; Feature extraction; Instruments; Multidimensional systems; Sensor fusion; Testing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.293435
  • Filename
    293435
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1104434