A multi-compartment segmentation framework with homeomorphic level sets

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Fan, Xian ^a   Bazin, Pierre Louis ^a   Prince, Jerry L ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; LEVEL MEASUREMENT; PATTERN RECOGNITION; TOPOLOGY;

COMPUTATIONALLY EFFICIENT; COMPUTER VISION APPLICATIONS; EXTERNAL FORCING; HOMEOMORPHIC; LEVEL SETS; MULTIPLE COMPARTMENTS; MULTIPLE OBJECTS; NUMBER OF COMPONENTS; OBJECT TOPOLOGY; SEGMENTATION TECHNIQUES;

COMPUTER APPLICATIONS;

EID: 52249098280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587475     Document Type: Conference Paper

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