Segmentation of CT Brain Images Using K-Means and EM Clustering
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 intracrania...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2885/ |
| _version_ | 1848790176251248640 |
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| author | Lee, Tong Hau Fauzi, Mohammad Faizal Ahmad Komiya, Ryoichi |
| author_facet | Lee, Tong Hau Fauzi, Mohammad Faizal Ahmad Komiya, Ryoichi |
| author_sort | Lee, Tong Hau |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:08:27Z |
| format | Conference or Workshop Item |
| id | mmu-2885 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:27Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-28852011-09-21T07:25:27Z http://shdl.mmu.edu.my/2885/ Segmentation of CT Brain Images Using K-Means and EM Clustering Lee, Tong Hau Fauzi, Mohammad Faizal Ahmad Komiya, Ryoichi T Technology (General) QA75.5-76.95 Electronic computers. Computer science 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. 2008-08 Conference or Workshop Item NonPeerReviewed 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. http://dx.doi.org/10.1109/CGIV.2008.17 doi:10.1109/CGIV.2008.17 doi:10.1109/CGIV.2008.17 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Lee, Tong Hau Fauzi, Mohammad Faizal Ahmad Komiya, Ryoichi Segmentation of CT Brain Images Using K-Means and EM Clustering |
| title | Segmentation of CT Brain Images Using K-Means and EM Clustering |
| title_full | Segmentation of CT Brain Images Using K-Means and EM Clustering |
| title_fullStr | Segmentation of CT Brain Images Using K-Means and EM Clustering |
| title_full_unstemmed | Segmentation of CT Brain Images Using K-Means and EM Clustering |
| title_short | Segmentation of CT Brain Images Using K-Means and EM Clustering |
| title_sort | segmentation of ct brain images using k-means and em clustering |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2885/ http://shdl.mmu.edu.my/2885/ http://shdl.mmu.edu.my/2885/ |