A conditional random field approach to unsupervised texture image segmentation

DOI10.1155/2010/167942zbMath1204.94019OpenAlexW2049262511WikidataQ59252955 ScholiaQ59252955MaRDI QIDQ623964

Chang-Tsun Li

Publication date: 8 February 2011

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2010/167942

Mathematics Subject Classification ID

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

Related Items (1)

Markov models for image labeling

Cites Work

• MRF-based texture segmentation using wavelet decomposed images
• Independent component analysis for texture segmentation.
• Double Markov random fields and Bayesian image segmentation
• An approach to reducing the labeling cost of Markov random fields within an infinite label space.

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