Image segmentation and bias correction via an improved level set method

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3520-3530

  Chen, Yunjie ^a   Zhang, Jianwei ^a   Mishra, Arabinda ^b   Yang, Jianwei ^a  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Bias field; Level set; Local information

Indexed keywords

BIAS CORRECTION; BIAS FIELD; CLUSTER CENTERS; ENTIRE DOMAIN; IMAGE PIXELS; IMAGING MODALITY; INHOMOGENEITIES; INTENSITY DISTRIBUTION; INTENSITY INHOMOGENEITY; INTENSITY VARIATIONS; LEVEL SET; LEVEL SET FRAMEWORK; LEVEL SET METHOD; LOCAL INFORMATION; MULTIPLICATIVE FACTORS; OBJECTIVE FUNCTIONS; PRE-PROCESSING STEP; VARIATIONAL LEVEL SET;

GAUSSIAN DISTRIBUTION; MAGNETIC RESONANCE; NUMERICAL METHODS;

IMAGE SEGMENTATION;

ANALYTICAL ERROR; ARTICLE; COMPUTER SYSTEM; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; IMAGING SYSTEM; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS MODEL; STATISTICAL DISTRIBUTION;

EID: 80052924816     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.06.006     Document Type: Article

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