A segmentation model using compound Markov random fields based on a boundary model

IEEE Transactions on Image Processing

Volumn 16, Issue 1, 2007, Pages 241-252

  Wu, Jue ^a   Chung, Albert C S ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Boundary model; Markov random fields (MRFs); Medical image segmentation

Indexed keywords

BOUNDARY CONDITIONS; EDGE DETECTION; MARKOV PROCESSES; MATHEMATICAL MODELS; MEDICAL IMAGING; SIGNAL TO NOISE RATIO;

MARKOV RANDOM FIELD; NOISE CORRUPTION; SYNTHETIC IMAGE;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 33847737395     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.884933     Document Type: Article

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