Image segmentation using an efficient rotationally invariant 3D region-based hidden markov model

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

Volumn , Issue , 2008, Pages

  Huang, Albert ^a   Abugharbieh, Rafeef ^a   Tarn, Roger ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL GEOMETRY; COMPUTER VISION; D REGION; DIGITAL IMAGE STORAGE; ESTIMATION; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING TECHNIQUES; LABELING; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; OBJECT RECOGNITION; OPTIMIZATION; PARAMETER ESTIMATION; PATTERN RECOGNITION; RESONANCE; SENSOR NETWORKS; STRUCTURED PROGRAMMING; TREES (MATHEMATICS);

BRAIN MRI; EXPECTATION-MAXIMIZATION; GEOMETRIC SHAPING; GRAY MATTER; GREATER ACCURACY; HIDDEN MARKOV MODELING; HIDDEN MARKOV RANDOM FIELD; HMM ESTIMATION; OPTIMAL DATA; OPTIMIZATION PROCESSES; OPTIMIZATION STRATEGIES; PARAMETER ESTIMATION ALGORITHMS; RECTANGULAR LATTICES; REGION-BASED; SEGMENTATION RESULTS; SYNTHETIC IMAGES; THREE DIMENSIONAL (3D); UNSUPERVISED IMAGE SEGMENTATION;

THREE DIMENSIONAL;

ALGORITHMS; COMPUTER PROGRAMING; DATA PROCESSING; IMAGE ANALYSIS; LABELING; MAGNETIC RESONANCE; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETERS; SEGMENTATION;

EID: 51849090054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4563014     Document Type: Conference Paper

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