Median filter for denoising MRI: Literature review

Abstract

In this paper, we study Alzheimer’s disease, noise in MRI, the Median filter and state of the art in this domain. The disease of the century, Alzheimer’s disease, which characterized the loss of various abilities such: cognitive, thinking, remembering, reasoning and behavioral. One of the tools to recognize an early detection of Alzheimer’s disease is medical imaging and the most utilized is the Magnetic Resonance Imaging (MRI). It is a grey color image with intensity in the range 0-255. Medical image segmentation helps us to pull out precious knowledge from a large quantity of medical image data. For better image segmentation, further phases must be processed. Like, reducing noise from MRI. Gaussian noise and Salt and pepper noise are examples of noises present in images. There are many denoising techniques, like the filtering domain and especially the median filter that proves its effectiveness in reducing the Salt and pepper noise.