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Comparative Analysis of Brain Tumor Detection using Different Segmentation Techniques

by A. Ramaswamy Reddy, E. V. Prasad, L. S. S. Reddy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 14
Year of Publication: 2013
Authors: A. Ramaswamy Reddy, E. V. Prasad, L. S. S. Reddy
10.5120/14229-1229

A. Ramaswamy Reddy, E. V. Prasad, L. S. S. Reddy . Comparative Analysis of Brain Tumor Detection using Different Segmentation Techniques. International Journal of Computer Applications. 82, 14 ( November 2013), 14-28. DOI=10.5120/14229-1229

@article{ 10.5120/14229-1229,
author = { A. Ramaswamy Reddy, E. V. Prasad, L. S. S. Reddy },
title = { Comparative Analysis of Brain Tumor Detection using Different Segmentation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 14 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number14/14229-1229/ },
doi = { 10.5120/14229-1229 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:42.785211+05:30
%A A. Ramaswamy Reddy
%A E. V. Prasad
%A L. S. S. Reddy
%T Comparative Analysis of Brain Tumor Detection using Different Segmentation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 14
%P 14-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study, we would like to present brain tumor detection methods, based on the conventional K-means technique, Expectation Maximization (EM) algorithm and a new Spatial Fuzzy-technique analysis of brain MR images. Though, the K-means and EM algorithm were already used in Brain MR image segmentation, as well as image segmentation in general, it fails to utilize the strong spatial correlation between neighboring pixels. A spatial Fuzzy C-means (SFCM's) technique, which is utilize the spatial information properly and produce high quality segmentation of brain tumor images. Five ground truth images are taken to test the segmentation performance of K-means, EM algorithms and Spatial Fuzzy C-means technique. The segmentation results, which are proved more accurate segmentation by the SFCM's compared to that of K-means and EM algorithm, are presented statistically and graphically.

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Index Terms

Computer Science
Information Sciences

Keywords

K-Means Expectation Maximization Fuzzy MR images SFCM's

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