A statistics-based approach to binary image registration with uncertainty analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 1, 2007, Pages 112-125

  Simonson, Katherine M ^a   Drescher Jr , Steven M ^a   Tanner, Franklin R ^a  

^a SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

"Fuzzy"; Edge and feature detection; Image processing and computer vision; Nonparametric statistics; Probabilistic reasoning; Registration; Uncertainty

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; EDGE DETECTION; IMAGE MATCHING; PIXELS; PROBABILISTIC LOGICS; STATISTICAL METHODS; UNCERTAIN SYSTEMS;

EDGE PIXEL MATCHING; FEATURE DETECTION; NONPARAMETRIC STATISTICS;

IMAGE REGISTRATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 33947223446     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.250603     Document Type: Article

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