Analysis of FCM Clustering on Pre and Post Iterative relaxed adaptive center weighted median filter in MRI & CT Brain Images
نویسندگان
چکیده
Image de-noising and clustering in medical images are quite complex because of narrow dynamic range and in-homogeneity. Pre processing steps like image de-noising do have influence over the subsequent image processing which misleads further image analysis. In this paper, a new method which incorporates the advantages of adaptive center weighted median filter and hybrid median filter, called Iterative relaxed adaptive center weighted median filter, has been proposed for image de-noising and the influence of such median filtering methods over Fuzzy C-Means Clustering is analyzed in MRI & CT images using Cluster Error Index and Average Cluster Error Index. This analysis leads to proper selection of de-noising algorithm for better clustering of image regions.
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