Research Article
Brain Tumor Segmentation using Genetic Algorithm and FCM Clustering Approach
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 49 - Issue 2 |
| Published: July 2012 |
| Authors: Garima Garg, Sonia Juneja |
10.5120/7601-0331
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Garima Garg, Sonia Juneja . Brain Tumor Segmentation using Genetic Algorithm and FCM Clustering Approach. International Journal of Computer Applications. 49, 2 (July 2012), 24-27. DOI=10.5120/7601-0331
@article{ 10.5120/7601-0331,
author = { Garima Garg,Sonia Juneja },
title = { Brain Tumor Segmentation using Genetic Algorithm and FCM Clustering Approach },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 49 },
number = { 2 },
pages = { 24-27 },
doi = { 10.5120/7601-0331 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Garima Garg
%A Sonia Juneja
%T Brain Tumor Segmentation using Genetic Algorithm and FCM Clustering Approach%T
%J International Journal of Computer Applications
%V 49
%N 2
%P 24-27
%R 10.5120/7601-0331
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image processing is any type of signal processing in which we take any abnormal image of brain tumor and then produce an output which is extracted portion of tumor by applying genetic algorithm with fuzzy clustering means method. FCM is superior over different clustering approaches. This combined approach is used to improve segmentation efficiency and obtain higher value of true positive pixels belong to tumorous region. Genetic algorithm is a stochastic global optimization algorithm, their combination can prevent FCM being trapped in local optimum and give more better results in comparison to neural networks and CAD approaches.
References
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- M. Usman Akram', Anam Usman "Computer Aided System for Brain Tumor Detection and Segmentation" 978-1-61284-941-6/11/$26. 00 ©2011 IEEE
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- Huynh Van Lung and Jong-Myon Kim, Member, IEEE "A Generalized Spatial Fuzzy C-Means Algorithm for Medical Image Segmentation. " FUZZ-IEEE 2009, Korea, August 20-24, 2009.
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