Influence of Iterative relaxed median filter over FCM clustering in MR images

Image segmentation plays an important role in the analysis and applications of medical image processing and Impulse noise removal is a complex procedure in MR images. Hence in this paper, Iterative relaxed median filter is proposed to improve Peak signal to noise ratio of the filtered image and influence of Iterative relaxed median filter over Fuzzy C-Means clustering (FCM) in MR images is carried out using Cluster Error Index (CEI). For comparative analysis, median filtering methods such as standard median filter (SMF), adaptive median filter (AMF), hybrid median filter (HMF) and relaxed median filter (RMF) are used. Analysis of noise influence of these median filtering methods over FCM Clustering is done based on two validity measures.