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Brain Tumor Detection Using Snake Algorithm and Fuzzy C-Mean | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 7, Volume 9, Issue 1, 2012, Pages 85-100 PDF (1.19 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2012.163673 | ||
| Author | ||
| Ramadan M. Ramo | ||
| College of Administration and Economics University of Mosul | ||
| Abstract | ||
| In this research, two methods have been suggested for the detection of the brain tumor . (which is defined as the abnormal growth of cells), The first method is used the snake algorithm and the second Fuzzy C-mean . Initial image hase been processed that converts the image to gray then a Median filtering method is used to remove noise and other false features while maintaining the quality of public image. The methods are applied on a number of brain image with different angles. The results have to been presented of both methods and compared. The result show that snake method with a high speed in detecting the tumor, the matlab language has been used for the suggestions methods. | ||
| Keywords | ||
| Snake Algorithm; Fuzzy C-Mean Algorithm | ||
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