Segmentation of CT Brain Images Using K-Means and EM Clustering

Lee, Tong Hau and Fauzi, Mohammad Faizal Ahmad and Komiya, Ryoichi (2008) Segmentation of CT Brain Images Using K-Means and EM Clustering. In: 5th International Conference on Computer Graphics, Imaging and Visualization (CGIV), 26-28 AUG 2008, Penang, MALAYSIA.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CGIV.2008.17

Abstract

The combination of the different approaches for the segmentation of brain images is presented in this paper. The system segments the CT head images into 3 clusters, which are abnormal regions, cerebrospinal fluid (CSF) and brain matter. Firstly we filter out the abnormal regions from the intracranial area by using the decision free. As for the segmentation of the CSF and brain matter, we employed the Expectation-maximization (EM) algorithm. The system has been tested with a number of real CT head images and has achieved some promising results.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 21 Sep 2011 07:25
Last Modified: 21 Sep 2011 07:25
URI: http://shdl.mmu.edu.my/id/eprint/2885

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