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MRI Brain Image Segmentation based on Wavelet and FCM Algorithm

by Iraky Khalifa, Aliaa Youssif, Howida Youssry
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 16
Year of Publication: 2012
Authors: Iraky Khalifa, Aliaa Youssif, Howida Youssry
10.5120/7275-0446

Iraky Khalifa, Aliaa Youssif, Howida Youssry . MRI Brain Image Segmentation based on Wavelet and FCM Algorithm. International Journal of Computer Applications. 47, 16 ( June 2012), 32-39. DOI=10.5120/7275-0446

@article{ 10.5120/7275-0446,
author = { Iraky Khalifa, Aliaa Youssif, Howida Youssry },
title = { MRI Brain Image Segmentation based on Wavelet and FCM Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 16 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 32-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number16/7275-0446/ },
doi = { 10.5120/7275-0446 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:03.013014+05:30
%A Iraky Khalifa
%A Aliaa Youssif
%A Howida Youssry
%T MRI Brain Image Segmentation based on Wavelet and FCM Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 16
%P 32-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image segmentation plays a preliminary and indispensable step in medical image processing. Magnetic resonance (MR) segmentation used for brain tissues extraction white matter (WM), gray matter (GM) and cerebrospinal fluids (CSF). These tissues help in many medical image segmentation applications such as radiotherapy planning, clinical diagnosis, treatment planning and Alzheimer disease. This paper presents a novel manipulation or utilization of Fuzzy C- Means (FCM) Clustering by using wavelet Decomposition for feature extraction and feature vector treat as input to FCM. This algorithm is called Wavelet Fuzzy C- means (WFCM), the algorithm results are compared with standard FCM and Kernelized Fuzzy C- Means (KFCM). The performance of the proposed segmentation algorithm provides satisfactory results compared with the other two algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Fuzzy C-means Kernel Method Kernel-induced Distance Magnetic Resonance Imaging Wavelet

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