Learning a color distance metric for region-based image segmentation

Pattern Recognition Letters

Volumn 30, Issue 16, 2009, Pages 1496-1506

  Sobieranski, Antonio C ^a   Abdala, Daniel D ^b   Comunello, Eros ^c   Wangenheim, Aldo von ^a  

^a Federal UFSC University of Santa Catarina   (Brazil)

^b UNIVERSITY OF MÜNSTER   (Germany)

^c UNIVERSIDADE DO VALE DO ITAJAÍ   (Brazil)

Author keywords

Distance metric learning; Global optimization; Mahalanobis distance; Mumford Shah algorithm; Region based color image segmentation

Indexed keywords

CLUSTER VALIDATION; COLOR IMAGE SEGMENTATION; DISTANCE METRIC LEARNING; DISTANCE METRICS; EMPIRICAL VALIDATION; ENERGY FUNCTIONALS; IMAGE DATABASE; IMAGE SETS; MAHALANOBIS DISTANCE; MAHALANOBIS DISTANCES; MUMFORD-SHAH; MUMFORD-SHAH ALGORITHM; REGION-BASED; REGION-BASED COLOR IMAGE SEGMENTATION; ROBUST SEGMENTATION; SEGMENTATION ALGORITHMS; SEGMENTATION METHODS; TRAINING AND TESTING; TRAINING SETS;

COLOR; DIGITAL IMAGE STORAGE; EXPERIMENTS; GLOBAL OPTIMIZATION; LEARNING ALGORITHMS; METRIC SYSTEM; SET THEORY;

IMAGE SEGMENTATION;

EID: 70350133845     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2009.08.002     Document Type: Article

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