NDLI: Image fusion using fuzzy logic and applications

Content Provider	IEEE Xplore Digital Library
Author	Singh, H. Raj, J. Kaur, G. Meitzler, T.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA (Singh, H.; Raj, J.; Kaur, G.)
Abstract	Image fusion deals with integrating data obtained from different sources of information for intelligent systems. Image fusion provides output as a single image from a set of input images. The fusion should provide a human/machine perceivable result with more useful complete information. A great deal of interest has recently been shown in literature in image fusion because of its application in automotive, medical and other areas. Some techniques are currently available for image fusion. Some new approaches have been suggested in this work in particular, fuzzy and neuro-fuzzy. Algorithms are also proposed for the above said techniques for image fusion process. The work is also supplemented by algorithms, which help us analyze the output qualitatively on attributes like entropy, statistical moments, uniformity etc.
Starting Page	337
Ending Page	340
File Size	528551
Page Count	4
File Format	PDF
ISBN	0780383532
ISSN	10987584
DOI	10.1109/FUZZY.2004.1375745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-07-25
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image fusion Fuzzy logic Information resources Intelligent systems Machine intelligence Humans Automotive engineering Biomedical imaging Algorithm design and analysis Entropy
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Theoretical Computer Science Software

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