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Evaluation of Fuzzy Inference System in Image Processing
| 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
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.
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