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Brain Image Segmentation Based on Fuzzy Clustering


 
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1. Title Title of document Brain Image Segmentation Based on Fuzzy Clustering
 
2. Creator Author's name, affiliation, country Mohammed Y. Kamil; College of Science, Mustansiriyah University; Iraq
 
3. Subject Discipline(s) Physics
 
3. Subject Keyword(s) Brain image, Fuzzy, clustering, level set, Segmentation.
 
4. Description Abstract The segmentation performance is topic to suitable initialization and best configuration of supervisory parameters. In medical image segmentation, the segmentation is very important when the diagnosing becomes very hard in medical images which are not properly illuminated.
This paper proposes segmentation of brain tumour image of MRI images based on spatial fuzzy clustering and level set algorithm. After performance evaluation of the proposed algorithm was carried on brain tumour images, the results showed confirm its effectiveness for medical image segmentation, where the brain tumour is detected properly.
 
5. Publisher Organizing agency, location Mustansiriyah University
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2018-07-28
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/553
 
10. Identifier Digital Object Identifier (DOI) http://dx.doi.org/10.23851/mjs.v28i3.553
 
11. Source Title; vol., no. (year) Al-Mustansiriyah Journal of Science; Vol 28, No 3 (2017)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2018 Al-Mustansiriyah Journal of Science
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