Unsupervised statistical image segmentation using bi-dimensional hidden Markov chains model with application to mammography images

Hidden Markov chain (HMC) models have been widely used in unsupervised image segmentation. In these models, there is a double process; a hidden one noted X and an observed one, which is often one-dimensional, noted Y. The latter is constituted by pixels of a noisy image after transforming its bi-dim...

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Autori principali:	Abdelali Joumad, Abdelmajid El Moutaouakkil, Abdelaziz Nasroallah, Omar Boutkhoum, Furqan Rustam, Imran Ashraf
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2023-10-01
Serie:	Journal of King Saud University: Computer and Information Sciences
Soggetti:	Classical hidden Markov chain Bi-dimensional hidden Markov chain Unsupervised segmentation Hilbert-Peano scan MCMC methods EM algorithm
Accesso online:	http://www.sciencedirect.com/science/article/pii/S1319157823002690
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