CoCRF deformable model: A geometric model driven by collaborative conditional random fields

IEEE Transactions on Image Processing

Volumn 18, Issue 10, 2009, Pages 2316-2329

  Tsechpenakis, Gavriil ^a   Metaxas, Dimitris ^b  

^a UNIVERSITY OF MIAMI   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Conditional Random Fields; Deformable models; Geometric models; Hidden Markov models; Image edge detection; Image segmentation; Probabilistic logic; Probability density function; Region boundary; Region statistics updating; Segmentation; Shape

Indexed keywords

CONDITIONAL RANDOM FIELDS; DEFORMABLE MODELS; GEOMETRIC MODELS; IMAGE EDGE DETECTION; REGION BOUNDARY; REGION STATISTICS UPDATING; SEGMENTATION; SHAPE;

COMPUTATIONAL GRAMMARS; CONTENT BASED RETRIEVAL; DEFORMATION; DIGITAL IMAGE STORAGE; E-LEARNING; EDGE DETECTION; FUNCTION EVALUATION; GEOMETRY; GRAPHIC METHODS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; INTERNET; OBJECT RECOGNITION; PROBABILISTIC LOGICS; PROBABILITY; SPEECH RECOGNITION;

PROBABILITY DENSITY FUNCTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70349451222     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2026624     Document Type: Article

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