Enhancement of microcalcifications in mammograms using Gaussian Membership function based on Tsallis entropy

This paper presents a new approach to enhance the contrast of microcalcifications in mammograms using a fuzzy algorithm based on Tsallis entropy. In phase I image is fuzzified using S membership function. In Phase II using the non-uniformity factor calculated from local information the contrast of Microcalcifications were enhanced while suppressing the background heavily. This is the first time in literature to propose an enhancement algorithm using Tsallis entropy. Tsallis entropy has an extra parameter q. The proposed approach can be even suitable for dense mammograms.