Training Bayesian networks for image segmentation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3457, Issue , 1998, Pages 82-92

  Feng, Xiaojuan ^a   Williams, Christopher K I ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Belief networks; CML; EM; Learning; Segmentation

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; IMAGE ANALYSIS; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; PROBABILITY;

BAYESIAN NETWORKS; BELIEF NETWORK; CONDITIONAL MAXIMUM LIKELIHOOD; MARKOV RANDOM FIELDS; QUADTREE MODEL; SYNTHETIC IMAGES;

IMAGE SEGMENTATION;

EID: 0032404555     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.323459     Document Type: Conference Paper

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