A variational framework for active and adaptative segmentation of vector valued images

Proceedings - Workshop on Motion and Video Computing, MOTION 2002

Volumn , Issue , 2002, Pages 56-61

  Rousson, M ^a   Deriche, R ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM; BAYESIAN NETWORKS; IMAGE PROCESSING; STOCHASTIC SYSTEMS;

EVOLUTION EQUATIONS; IMAGE REPRESENTATIONS; SEGMENTATION PROCESS; STATISTICAL PARAMETERS; STOCHASTIC INFORMATION; VARIATIONAL FORMULATION; VARIATIONAL FRAMEWORK; VECTOR-VALUED IMAGES;

IMAGE SEGMENTATION;

EID: 84964354359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MOTION.2002.1182214     Document Type: Conference Paper

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