An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities

Pattern Recognition Letters

Volumn 20, Issue 1, 1999, Pages 57-68

  Pham, Dzung L ^a,b   Prince, Jerry L ^a  

^a Johns Hopkins University   (United States)

^b NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

Fuzzy C means; Image segmentation; Intensity inhomogeneities; Magnetic resonance imaging

Indexed keywords

ADAPTIVE ALGORITHMS; FUZZY SETS; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING;

INTENSITY INHOMOGENEITIES;

IMAGE SEGMENTATION;

ALGORITHM;

EID: 0032843554     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(98)00121-4     Document Type: Article

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