Segmentation of MRI brain images using statistical approaches
The segmentation of brain MRI images is a challenging and complex task, due to noise and inhomogeneity. The Gaussian Mixture Model (GMM) is a clustering algorithm that is commonly used for brain MRI segmentation. Usually, the Markov Random Field (MRF) model is used to capture neighbourhood informat...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/42124/1/FK%202011%2027R.pdf |