Precise image segmentation by iterative EM-Based approximation of empirical grey level distributions with linear combinations of gaussians

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2004-January, Issue January, 2004, Pages

  Farag, Aly A ^a   El Baz, Ayman ^a   Gimel'Farb, Georgy ^b  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; ITERATIVE METHODS; MAXIMUM PRINCIPLE; MEDICAL IMAGING;

GIBBS RANDOM FIELD; GRAY-LEVEL; GRAY-SCALE IMAGES; GREY SCALE IMAGES; GREY VALUES; GREY-LEVEL DISTRIBUTIONS; IMAGES SEGMENTATIONS; LEVEL DENSITY; LINEAR COMBINATION OF GAUSSIANS; MULTI-MODAL;

IMAGE SEGMENTATION;

EID: 84932631829     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2004.419     Document Type: Conference Paper

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