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Reseach Article

Brain Tumor Detection from Pre-Processed MR Images using Segmentation Techniques

Published on None 2011 by Sarbani Datta, Dr. Monisha Chakraborty
2nd National Conference on Computing, Communication and Sensor Network
Foundation of Computer Science USA
CCSN - Number 2
None 2011
Authors: Sarbani Datta, Dr. Monisha Chakraborty
fbb4a4a9-f769-464a-80fc-107671e4f6ae

Sarbani Datta, Dr. Monisha Chakraborty . Brain Tumor Detection from Pre-Processed MR Images using Segmentation Techniques. 2nd National Conference on Computing, Communication and Sensor Network. CCSN, 2 (None 2011), 1-5.

@article{
author = { Sarbani Datta, Dr. Monisha Chakraborty },
title = { Brain Tumor Detection from Pre-Processed MR Images using Segmentation Techniques },
journal = { 2nd National Conference on Computing, Communication and Sensor Network },
issue_date = { None 2011 },
volume = { CCSN },
number = { 2 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /specialissues/ccsn/number2/4171-ccsn009/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 2nd National Conference on Computing, Communication and Sensor Network
%A Sarbani Datta
%A Dr. Monisha Chakraborty
%T Brain Tumor Detection from Pre-Processed MR Images using Segmentation Techniques
%J 2nd National Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN
%N 2
%P 1-5
%D 2011
%I International Journal of Computer Applications
Abstract

Magnetic resonance imaging (MRI) has become a common way to study brain tumor. In this paper we pre-process the two-dimensional magnetic resonance images of brain and subsequently detect the tumor using edge detection technique and color based segmentation algorithm. Edge-based segmentation has been implemented using operators e.g. Sobel, Prewitt, Canny and Laplacian of Gaussian operators. The color-based segmentation method has been accomplished using K-means clustering algorithm. The color-based segmentation carefully selects the tumor from the pre-processed image as a clustering feature. The present work demonstrates that the method can successfully detect the brain tumor and thereby help the doctors for analyzing tumor size and region. The algorithms have been developed on MATLAB version 7.6.0 (R2008a) platform.

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Index Terms

Computer Science
Information Sciences

Keywords

magnetic resonance imaging brain tumor edge-based segmentation color-based segmentation K-means clustering