Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models

Biomedical Signal Processing and Control

Volumn 6, Issue 1, 2011, Pages 3-12

  Szilágyi, László ^a,b   Szilágyi, Sándor M ^a   Benyó, Balázs ^b   Benyó, Zoltán ^b  

^a SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Context dependent filter; Fuzzy c means clustering; Hybrid c means clustering; Image segmentation; Intensity inhomogeneity; Magnetic resonance imaging; Morphological operations

Indexed keywords

BRAIN MAPPING; FUZZY FILTERS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MORPHOLOGY; MEDICAL PROBLEMS;

C-MEANS CLUSTERING; CONTEXT DEPENDENT FILTER; FUZZY C MEANS CLUSTERING; INTENSITY INHOMOGENEITY; MORPHOLOGICAL OPERATIONS;

IMAGE SEGMENTATION;

BRAIN; CLUSTER ANALYSIS; CONFERENCE PAPER; IMAGING SYSTEM; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; PRIORITY JOURNAL;

EID: 78651356509     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2010.08.004     Document Type: Conference Paper

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