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Evaluation of Fuzzy Inference System in Image Processing

by Jaideep Kaur, Poonam Sethi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 22
Year of Publication: 2013
Authors: Jaideep Kaur, Poonam Sethi
10.5120/11708-7159

Jaideep Kaur, Poonam Sethi . Evaluation of Fuzzy Inference System in Image Processing. International Journal of Computer Applications. 68, 22 ( April 2013), 1-4. DOI=10.5120/11708-7159

@article{ 10.5120/11708-7159,
author = { Jaideep Kaur, Poonam Sethi },
title = { Evaluation of Fuzzy Inference System in Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 22 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number22/11708-7159/ },
doi = { 10.5120/11708-7159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:28:34.572219+05:30
%A Jaideep Kaur
%A Poonam Sethi
%T Evaluation of Fuzzy Inference System in Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 22
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper reports the evaluation of Fuzzy logic implemented on image, in MATLAB environment, used to implement different functions. In this paper, the in-built functions of MATLAB are implemented on image and the resultant images are displayed using different functions. Fuzzy inference system has been designed for four inputs, one output that tells whether the pixel under consideration is "low", "medium" or "high" pixel. Rule base comprises of eight rules, which classify the target pixel. The Type-1 Fuzzy Logic System Toolbox (T1FLS) is an environment for type-1 fuzzy logic inference system development. Tools that cover the different phases of the fuzzy system design process, from the initial description phase, to the final implementation phase, build the Toolbox. The Toolbox's best qualities are the capacity to develop complex systems and the flexibility that permits the user to extend the availability of functions for working with the use of type-1 fuzzy operators, fuzzy variables, type-1 membership functions, de-fuzzification methods and the evaluation of Type-1 Fuzzy Inference Systems.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic System Fuzzy Inference System Edge detection Digital image processing T1FIS

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