Determining the number of clusters for kernelized fuzzy C-means algorithms for automatic medical image segmentation

Determining the number of clusters for kernelized fuzzy C-means algorithms for automatic medical image segmentation

In this paper, we determine the suitable validity criterion of kernelized fuzzy C-means and kernelized fuzzy C-means with spatial constraints for automatic segmentation of magnetic resonance imaging (MRI). For that; the original Euclidean distance in the FCM is replaced by a Gaussian radial basis fu...

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Bibliographic Details
Main Author: E.A. Zanaty
Format: Article
Language:English
Published: Elsevier 2012-03-01
Series:Egyptian Informatics Journal
Subjects:
Medical image segmentation
Clustering methods
FCM
Kernel function
Validity indexes
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866512000059

Internet

http://www.sciencedirect.com/science/article/pii/S1110866512000059

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