Title :
Fuzzy methods for multisensor data fusion
Author :
Russo, Fabrizio ; Ramponi, Giovanni
Author_Institution :
Dept. of Electron. & Comput. Sci., Trieste Univ., Italy
fDate :
4/1/1994 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
