An Efficient Technique for Medical Image Enhancement Based on Interval Type-2 Fuzzy Set Logic

Medical images are generally of poor contrast and hence needs a special enhancement technique to improve the visibility before further analysis on those images can be done. The membership function in a Type-1 fuzzy set is not properly defined and hence there lie uncertainties in the result. But, type-2 fuzzy set considers uncertainty in the type-1 membership function itself. Hence, a type-2 fuzzy set based enhancement technique is introduced in this paper. A new membership function is defined. Through the new membership function, the fuzziness of the image is reduced to a great level which automatically enhances its contrast. The results obtained are found better than the traditional state of the art algorithms.