NDLI: Fuzzy logic-based data integration: theory and applications

Content Provider	IEEE Xplore Digital Library
Author	Abdulghafour, M. Fellah, A. Abidi, M.A.
Copyright Year	1994
Description	Author affiliation: Dept. of Math. & Comput. Sci., United Arab Emirates Univ., Al-Ain, United Arab Emirates (Abdulghafour, M.; Fellah, A.)
Abstract	Multisensor systems provide a purposeful description of the environment that a single sensor cannot offer. Because observations provided by sensors are uncertain and incomplete, we adopt the use of fuzzy sets theory as a general framework to combine uncertain measurements. We develop a fusion formula based on the measure of fuzziness. The fusion formula is mathematically tested against several desirable properties of fusion operators. We establish a fuzzification scheme by which different types of input data would be modeled. A defuzzification scheme is carried out to recover crisp data from the combined fuzzy assessment. This approach is implemented and tested with real range and intensity images acquired by an Odetics Laser Range Scanner. The goal is to obtain better scene descriptions through a segmentation process of both images. A method for evaluating segmentation results is presented.
Starting Page	151
Ending Page	160
File Size	858354
Page Count	10
File Format	PDF
ISBN	0780320727
DOI	10.1109/MFI.1994.398463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Testing Image segmentation Multisensor systems Sensor phenomena and characterization Sensor systems Fuzzy set theory Measurement uncertainty Laser fusion Laser modes
Content Type	Text
Resource Type	Article

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