Bayesian segmentation for damage image using MRF prior

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7292, Issue PART 1, 2009, Pages

  Li, G ^a   Yuan, F G ^a   Haftka, R ^b   Kim, N H ^b  

^a North Carolina State University   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Damage estimation; Damage imaging; Gibbs Random Field; Image segmentation; Markov random field

Indexed keywords

BAYES' LAW; BAYESIAN SEGMENTATION; BAYESIAN UPDATING; DAMAGE AREA; DAMAGE ESTIMATION; DAMAGE IMAGING; GIBBS RANDOM FIELD; K-MEANS; LIKELIHOOD FUNCTIONS; MARKOV RANDOM FIELDS; PRIOR INFORMATION; SEGMENTATION RESULTS; SPATIAL CONSTRAINTS;

ALGORITHMS; BAYESIAN NETWORKS; CONCRETE BRIDGES; CRACK TIPS; DIAGNOSIS; ESTIMATION; SENSORS; STRUCTURAL HEALTH MONITORING;

IMAGE SEGMENTATION;

EID: 77955691134     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.816507     Document Type: Conference Paper

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