Edge preserving spatially varying mixtures for image segmentation

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Sfikas, Giorgos ^a   Nikou, Christophoros ^a   Galatsanos, Nikolaos ^b  

^a UNIVERSITY OF IOANNINA   (Greece)

^b UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; BLIND SOURCE SEPARATION; CANNING; COMPUTER VISION; CONFORMAL MAPPING; DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; INFERENCE ENGINES; MAGNETOSTRICTIVE DEVICES; MIXING; OPTICAL FILTERS; PARAMETER ESTIMATION; PATTERN RECOGNITION; STANDARDS; STUDENTS;

BAYESIAN INFERENCES; CLASS LABELS; CLOSED FORM; EDGE PRESERVING; EXPECTATION-MAXIMIZATION; GAUSSIAN MIXTURE MODELS; HIERARCHICAL BAYESIAN MODEL; MAXIMUM A-POSTERIORI; NUMERICAL EXPERIMENTS; SEGMENTATION TECHNIQUES; SPATIAL SMOOTHNESS;

EDGE DETECTION;

EID: 51949114046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587416     Document Type: Conference Paper

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