Random field model for integration of local information and global information

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 8, 2008, Pages 1483-1489

  Toyoda, Takahiro ^a   Hasegawa, Osamu ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Conditional random field; Global information; Image labeling; Local information; Scene analysis

Indexed keywords

IMAGE RECOGNITION; KETONES; LABELING;

CONDITIONAL RANDOM FIELD (CRF); DATA-SETS; GENERAL FRAMEWORK; GLOBAL IMAGE FEATURES; GLOBAL INFORMATIONS; IMAGE LABELING; INPUT IMAGES; LOCAL INFORMATION; RANDOM-FIELD MODELS; SCENE-BASED; SPATIAL CONFIGURATIONS; TOP-DOWN;

IMAGE SEGMENTATION;

DATA PROCESSING; IMAGE ANALYSIS; INFORMATION RETRIEVAL; INTEGRATION; KETONES; LABELING; MATHEMATICAL MODELS; PERFORMANCE; RANDOM PROCESSES;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; SYSTEM ANALYSIS;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SYSTEMS INTEGRATION;

EID: 46149124384     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.105     Document Type: Article

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