Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm

IEEE Transactions on Image Processing

Volumn 7, Issue 7, 1998, Pages 1014-1028

  Sanjay Gopal, S ^b   Hebert, Thomas J ^a,c  

^a IEEE   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF HOUSTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COMPUTERIZED TOMOGRAPHY; FINITE ELEMENT METHOD; IMAGE QUALITY; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION;

EXPECTATION MAXIMIZATION (EM) ALGORITHMS; FINITE MIXTURE MODELS; GAUSSIAN DENSITY FUNCTIONS;

IMAGE SEGMENTATION;

EID: 0032122746     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.701161     Document Type: Article

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