Medical image enhancement using intuitionistic fuzzy set

In this paper, a novel image enhancement of medical images using intuitionistic fuzzy set theory is presented. In many image processing problems, preprocessing is required to improve the quality of images before processing. But for medical images, image enhancement is very useful as medical images are poorly illuminated and many of the important structures are hardly visible. Enhancement will improve the quality of the image and specifically the structures that are poorly visible, are also highlighted, thereby suitable for further processing. As intuitionistic fuzzy set takes into account more (two) uncertainties as compared to fuzzy set that considers only one uncertainty in the form of membership function, so enhancement using intuitionistic fuzzy set theory may be a good tool for medical image processing. Experiments on several medical images are performed and the results are compared with the existing fuzzy and intuitionistic enhancement methods. It is observed that the results using the proposed method are found to be quiet better.