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B. Siva Sankar
J.N.T. University Anantapur
Computer Science & IT Engineering

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Type2 Fuzzy Soft Computing Technique for Image Enhancement U. Sesadri; B. Siva Sankar; C. Nagaraju
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (564.43 KB) | DOI: 10.11591/ijai.v4.i3.pp97-104

Abstract

The mainpurpose of Image enhancement is to process an image so that outcome is more appropriate than original image for definite application. The fuzzy logic isone of the soft computing techniques to enhance the images by eliminating uncertainty.In this paper efficient type2 fuzzy logic technique is used to get betterquality image. This method consists of two steps. In the First step fisher criterion function is useful to generate type1 fuzzy membership value. In the second step based on type1 membership value fuzzy rules are derived to enhance the image. The type2 fuzzy method is compared with type1 fuzzy. The table values and graphs provethat the proposed method gives better results compared with fuzzy type1 method.
Co-Authors C. Nagaraju U. Sesadri