Comparison between Algorithms of MRI Image Segmentation
Hayfa Masghouni
Hayfa Masghouni, National School of Engineers in Carthage, Rades, Tunisia
Manuscript received on August 02, 2016. | Revised Manuscript received on August 09, 2016. | Manuscript published on September 05, 2016. | PP: 38-45 | Volume-6 Issue-4, September 2016. | Retrieval Number: D2890096416/2016©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this article, we present different algorithms of MRI image segmentation based on classification of pixels. First, we present FCM (Fuzzy C_Means) and its different extensions with a comparison between them, after we present GMM (Gaussian Mixture Model) and EM (Expectation Maximization) and its extensions with a comparison between them.
Keywords: FCM, EM, GMM, MRI image segmentation