Abstract
In this paper, a segmentation algorithm of brain magnetic resonance imaging is proposed. The proposed method rests on Tweedie hidden Markov random field processing and the Expectation- Method of moments and Maximization algorithm. The algorithm was validated on synthetic and real images. The basic merit of our proposed method of segmentation lies in its ability to quantify the complex structure as brain tumor.
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Mouna, Z., Mourad, Z., Afif, M. (2021). Unsupervised Image Segmentation Using THMRF Model. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, TP. (eds) Hybrid Intelligent Systems. HIS 2020. Advances in Intelligent Systems and Computing, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-73050-5_5
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DOI: https://doi.org/10.1007/978-3-030-73050-5_5
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