Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means

IET Image Processing

Volumn 3, Issue 2, 2009, Pages 52-62

  Awad, M ^a   Chehdi, K ^b   Nasri, A ^c  

^a NATIONAL COUNCIL FOR SCIENTIFIC RESEARCH   (Lebanon)

^b UNIVERSITÉ DE RENNES 1   (France)

^c AMERICAN UNIVERSITY OF BEIRUT   (Lebanon)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL IMAGE STORAGE; FUZZY CLUSTERING; FUZZY RULES; FUZZY SYSTEMS; GENETIC ALGORITHMS; IMAGE ACQUISITION; IMAGE ANALYSIS; SELF ORGANIZING MAPS; STRENGTH OF MATERIALS;

A-PRIORI; EXISTING METHODS; FUZZY C-MEANS; HILL-CLIMBING; HYBRID DYNAMICS; HYBRID GENETIC ALGORITHMS; LANDSAT ETM+; MULTI-COMPONENT IMAGE SEGMENTATIONS; MULTI-COMPONENT IMAGES; MUTATION OPERATORS; SEGMENTATION METHODS; SELF-ORGANIZING; UNSUPERVISED SEGMENTATION METHODS;

IMAGE SEGMENTATION;

EID: 62649132087     PISSN: 17519659     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-ipr.2007.0213     Document Type: Article

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