A tree-structured Markov random field model for bayesian image segmentation

DOI10.1109/TIP.2003.817257zbMath1279.94012OpenAlexW2107588225WikidataQ51895450 ScholiaQ51895450MaRDI QIDQ3546402

Giuseppe Scarpa, Giovanni Poggi, Ciro D'Elia

Publication date: 21 December 2008

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2003.817257

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

Identifiability in robust estimation of tree structured models ⋮ Spatiotemporal road scene reconstruction using superpixel-based Markov random field ⋮ Unsupervised SAR image segmentation based on a hierarchical TMF model in the discrete wavelet domain for sea area detection

This page was built for publication: A tree-structured Markov random field model for bayesian image segmentation