NDLI: Rule based optimization of type-2 fuzzy inference system used at impulse noise removing

Content Provider	IEEE Xplore Digital Library
Author	Soyturk, M.A. Basturk, A. Yuksel, M.E.
Copyright Year	2011
Description	Author affiliation: Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Erciyes Üniversitesi, Turkey (Yuksel, M.E.) \|\| Sivil Havacılık Yüksekokulu, Uçak Elektrik-Elektronik Bölümü, Erciyes Üniversitesi, Turkey (Soyturk, M.A.) \|\| Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Erciyes Üniversitesi, Turkey (Basturk, A.)
Abstract	In this work, a method involving the use of a type-2 fuzzy inference system for impulse noise removal from digital images is presented. In the presented work, parameters of the type-2 fuzzy inference system are optimized by the Clonal Selection Algorithm adopting a rule based approach. In the rule based approach, parameters of the type-2 fuzzy inference system are separated by the rules in the system and only parameters of the current rule are optimized in each epoch. With this approach, performance of the heuristic algorithm is considerably improved. In univariate approach applied after the rule based approach, all parameters are kept fixed and the final result is obtained by optimizing the parameters one by one within a narrower interval. Experimental results show that the MSE (mean square error) value of the type-2 fuzzy filter has been dramatically reduced by using the proposed method.
Starting Page	833
Ending Page	836
File Size	998286
Page Count	4
File Format	PDF
ISBN	9781457704628
e-ISBN	9781457704635
e-ISBN	9781457704611
DOI	10.1109/SIU.2011.5929780
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-20
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Digital images Noise Boats Inference algorithms Optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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