Noise-robust method for image segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6474 LNCS, Issue PART 1, 2010, Pages 153-162

  Despotović, Ivana ^a   Jelača, Vedran ^a   Vansteenkiste, Ewout ^a   Philips, Wilfried ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Fuzzy C Means; Fuzzy clustering; Image segmentation; Noise; Spatial information

Indexed keywords

FCM ALGORITHM; FEATURE SPACE; FUZZY C MEAN; FUZZY C MEANS CLUSTERING; HIGHLY SENSITIVE; IMAGE PROCESSING APPLICATIONS; ITERATIVE ALGORITHM; MODEL UNCERTAINTIES; MULTI-MODAL DATA; NOISE; NOISE LEVELS; NOISY IMAGE; REAL IMAGES; RELATIVE LOCATION; ROBUST FUZZY CLUSTERING; ROBUST METHODS; SEGMENTATION METHODS; SEGMENTATION RESULTS; SIMILARITY MEASURE; SPATIAL IMAGES; SPATIAL INFORMATIONS; SYNTHETIC IMAGES;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTER VISION; FUZZY CLUSTERING; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS; MODAL ANALYSIS; UNCERTAINTY ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; ITERATIVE METHODS;

IMAGE SEGMENTATION;

EID: 78650902015     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17688-3_16     Document Type: Conference Paper

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