Unsupervised segmentation of images using bi-dimensional pairwise Markov chains model

Unsupervised segmentation of images using bi-dimensional pairwise Markov chains model

The pair-wise Markov chain (PMC) model serves as an extension to the hidden Markov chain (HMC) model and has been widely used in unsupervised restoration tasks associated with reconstructing the hidden data. In fact, the PMC model can treat fairly complicated situations for which application of Baye...

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Bibliographic Details
Main Authors: A. Joumad, A. El Moutaouakkil, A. Nasroallah, 2. Department of mathematics, Cadi Ayyad University, Faculty of Sciences Semlalia, B. P. 2390, Marrakesh, Morocco, Mejdl Safran, Sultan Alfarhood, Imran Ashraf
Format: Article
Language:English
Published: AIMS Press 2024-10-01
Series:AIMS Mathematics
Subjects:
bayesian restoration
hidden markov chain model
pairwise markov chain model
unsupervised segmentation
hilbert-peano scan
ice algorithm
sem algorithm
bi-dimensional parwise markov chain
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241498?viewType=HTML
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