Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise

DOI10.1016/j.ijar.2018.08.001zbMath1448.68447OpenAlexW2885379962MaRDI QIDQ1726254

Mohamed El Yazid Boudaren, Lin An, Wojciech Pieczynski, Ming Li

Publication date: 20 February 2019

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2018.08.001

zbMATH Keywords

correlated noisenon-Gaussian noisetheory of evidencetriplet Markov fieldshidden Markov random fieldspixel labeling

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Markov processes: estimation; hidden Markov models (62M05) Computing methodologies for image processing (68U10) Reasoning under uncertainty in the context of artificial intelligence (68T37) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Accurate and fast parameter identification of conditionally Gaussian Markov jump linear system with input control

Uses Software

• Graph Cut

Cites Work

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