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What is Median Filter

Chapter 73
Encyclopedia of Healthcare Information Systems
A non-linear filtering technique which replaces the intensity of each pixel with the median intensity value found in a symmetrical neighborhood containing an odd number of pixels. It is usually applied to reduce salt-and-pepper noise.
Published in Chapter:
Fast and Robust Fuzzy C-Means Algorithms for Automated Brain MR Image Segmentation
László Szilágyi (Hungarian Science University of Transylvania, Romania), Sándor Miklós Szilágyi (Hungarian Science University of Transylvania, Romania), and Zoltán Benyó (Budapest University of Technology and Economics, Hungary)
Copyright: © 2008 |Pages: 9
DOI: 10.4018/978-1-59904-889-5.ch073
Abstract
By definition, image segmentation represents the partitioning of an image into nonoverlapping, consistent regions, which appear to be homogeneous with respect to some criteria concerning gray level intensity and/or texture. The fuzzy c-means (FCM) algorithm is one of the most widely used method for data clustering, and probably also for brain image segmentation (Bezdek & Pal., 1991). However, in this latter case, standard FCM is not efficient by itself, as it is unable to deal with that relevant property of images that neighbor pixels are strongly correlated. Ignoring this specificity leads to strong noise sensitivity and several other imaging artifacts.
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