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

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3338, Issue , 1998, Pages 555-563

  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; COPYING; DIGITAL IMAGE STORAGE; FREQUENCY MULTIPLYING CIRCUITS; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING;

ADAPTIVE FUZZY C-MEANS; FUZZY C-MEANS; FUZZY C-MEANS ALGORITHMS; FUZZY SEGMENTATIONS; INTENSITY INHOMOGENEITIES; ITERATIVE ALGORITHMS; MAGNETIC RESONANCE IMAGES; NOVEL ALGORITHMS; OBJECTIVE FUNCTIONS; SECOND ORDERS; TEST IMAGES;

MEDICAL IMAGING;

EID: 1542317339     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.310864     Document Type: Conference Paper

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