Contrast enhancement of medical images using type II fuzzy set

A novel contrast image enhancement of medical images using Type II fuzzy set theory is suggested. Hamacher T co norm is used as an aggregation operator to form a new membership function using the upper and lower membership function of Type II fuzzy set. The parameter in the Hamacher T co norm is computed from the average of the image. The image with the new membership function is an enhanced image. Medical images contain lot of uncertainties, and as Type II fuzzy set considers fuzziness in fuzzy membership function; it may be a good tool for medical image analysis. To show the effectiveness of the proposed method, the results are compared with non-fuzzy, fuzzy, intuitionistic fuzzy, and the existing Type II fuzzy methods. Experiments on several images show that the proposed Type II fuzzy method performs better than the existing methods.

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