NDLI: Robust fuzzy c-means clustering algorithm using non-parametric Bayesian estimation in wavelet transform domain for noisy MR brain image segmentation

Content Provider	IET Digital Library
Author	Chetih, Nabil Messali, Zoubeida Serir, Amina Ramou, Naim
Abstract	The major drawback of the fuzzy c-means (FCM) algorithm is its sensitivity to noise. The authors propose a new extended FCM algorithm based a non-parametric Bayesian estimation in the wavelet transform domain for segmenting noisy MR brain images. They use the Bayesian estimator to process the noisy wavelet coefficients. Before segmentation based on FCM algorithm, they use an a priori statistical model adapted to the modelisation of the wavelet coefficients of a noisy image. The main objective of this wavelet-based Bayesian statistical estimation is to recover a good quality image, from a noisy image of poor quality. Experimental results on simulated and real magnetic resonance imaging brain images show that their proposed method solves the problem of sensitivity to noise and offers a very good performance that outperforms some FCM-based algorithms.
Starting Page	652
Ending Page	660
Page Count	9
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 5, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0399
Journal	IET Image Processing
Publisher Date	2017-12-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Bayes Method Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Biophysics of Neurophysiological Processes Brain Combinatorial Mathematics Computer Vision And Image Processing Technique Estimation Theory Extended FCM Algorithm Fuzzy Set Theory Good Quality Image Recovery Graph Theory Image Segmentation Integral Transforms Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy Noisy MR Brain Image Segmentation Noisy Wavelet Coefficient Nonparametric Bayesian Estimation Nonparametric Statistics Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Pattern Clustering Priori Statistical Model Probability Theory Real Magnetic Resonance Imaging Brain Image Robust Fuzzy C-means Clustering Algorithm Set Theory Spectroscopy Statistical Analysis Statistics Stochastic Linearised SCUC Wavelet Transform Wavelet Transform Domain Wavelet-based Bayesian Statistical Estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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