A new algorithm based on fuzzy gibbs random fields for image segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3150, Issue , 2004, Pages 163-170

  Yan, Gang ^a   Chen, Wufan ^a  

^a SOUTHERN MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUGMENTED REALITY; DECODING; FUZZY SET THEORY; FUZZY SYSTEMS; MEDICAL IMAGING; POTTS MODEL;

GIBBS RANDOM FIELD; MAXIMUM A POSTERIORI; MAXIMUM MEMBERSHIP PRINCIPLE; ORIGINAL IMAGES; SEGMENTATION RESULTS; UNSUPERVISED SEGMENTATION;

IMAGE SEGMENTATION;

EID: 35048843471     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28626-4_20     Document Type: Article

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