NDLI: Memristive fuzzy edge detector

Content Provider	Springer Nature Link
Author	Merrikh Bayat, Farod Bagheri Shouraki, Saeed Merrikh Bayat, Farshad
Copyright Year	2012
Abstract	Fuzzy inference systems always suffer from the lack of efficient structures or platforms for their hardware implementation. In this paper, we tried to overcome this difficulty by proposing a new method for the implementation of the fuzzy rule-based inference systems. To achieve this goal, we have designed a multi-layer neuro-fuzzy computing system based on the memristor crossbar structure by introducing a new concept called the fuzzy minterm. Although many applications can be realized through the use of our proposed system, in this study we only show how the fuzzy XOR function can be constructed and how it can be used to extract edges from grayscale images. One main advantage of our memristive fuzzy edge detector (implemented in analog form) compared to other commonly used edge detectors is it can be implemented in parallel form, which makes it a powerful device for real-time applications.
Starting Page	479
Ending Page	489
Page Count	11
File Format	PDF
ISSN	18618200
Journal	Journal of Real-Time Image Processing
Volume Number	9
Issue Number	3
e-ISSN	18618219
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2012-05-24
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Neuro-fuzzy computing system Edge detection Hardware implementation Memristor Memristive system Crossbar structure Image Processing and Computer Vision Multimedia Information Systems Computer Graphics Pattern Recognition Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Information Systems

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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