Title :
Fuzzy methods for multisensor data fusion
Author :
Ruzzo, F. ; Ramponi, Giovanni
Author_Institution :
Dipartimento di Elettrotecnica Elettronica Inf., Univ. degli Studi di Trieste, Italy
Abstract :
The authors present a new framework for information fusion based on fuzzy methods. In the proposed architecture, feature extraction and feature fusion are performed by adopting a class of multidimensional membership functions which take care of an admissibility space. A test case which specifically addresses the field of image data is presented
Keywords :
computerised instrumentation; feature extraction; fuzzy systems; image recognition; sensor fusion; uncertainty handling; feature extraction; feature fusion; fuzzy methods; image data; information fusion; multidimensional membership functions; multisensor data fusion; Application software; Computer vision; Data mining; Feature extraction; Fuzzy reasoning; Instruments; Multidimensional systems; Sensor fusion; Space technology; Testing;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1993. IMTC/93. Conference Record., IEEE
Conference_Location :
Irvine, CA
Print_ISBN :
0-7803-1229-5
DOI :
10.1109/IMTC.1993.382558
