Robust model for segmenting images with/without intensity inhomogeneities

IEEE Transactions on Image Processing

Volumn 22, Issue 8, 2013, Pages 3296-3309

  Li, Changyang ^a   Wang, Xiuying ^b   Eberl, Stefan ^b,c   Fulham, Michael ^c,d   Feng, David Dagan ^b,e  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^d UNIVERSITY OF SYDNEY   (Australia)

^e SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

gaussian distribution; gibbs distribution; Image segmentation; level set

Indexed keywords

EXPERIMENTAL COMPARISON; GIBBS DISTRIBUTION; GRAPH-BASED ALGORITHMS; INTENSITY DISTRIBUTION; LEVEL SET; LOCAL IMAGE STATISTICS; SALT-AND-PEPPER NOISE; SEGMENTATION RESULTS;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); GRAPHIC METHODS; MEDICAL IMAGING;

IMAGE SEGMENTATION;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; ARTICLE; METHODOLOGY;

ALGORITHMS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84879918013     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2263808     Document Type: Article

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