An Intelligent Approach for Noise Elimination from Brain Image

In general, medical images corrupt due to many causes. The brain image is essential for better and faster diagnosis by the physicians. In this work acquired brain image is considered instead of additive noise. As an intelligent technique the novel fuzzy based morphology is applied to remove the impulsive noise that occurs at the time of acquisition. After preprocessing of the image in one stage the noise is detected using Laplacian and morphological operator-based. Further the noise from the boundaries are tried to remove using modified fuzzy-based morphological operators. The operation provides clear view. The connectivity among pixels using fuzzy morphology helps to remove noise from the pixels. The proposed method performs successfully in terms of PSNR and MSE and has been presented in the result section.