A new & robust information theoretic measure and its application to image alignment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2732, Issue , 2003, Pages 388-400

  Wang, F ^a   Vemuri, B C ^a   Rao, M ^a   Chen, Y ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION THEORY; MEDICAL IMAGING; RANDOM VARIABLES;

CUMULATIVE DISTRIBUTION; IMAGE ALIGNMENT; INFORMATION THEORETIC MEASURE; ITS APPLICATIONS; MEASURE OF INFORMATION; PARAMETERIZED TRANSFORMATION; REAL IMAGE DATA; SHANNON ENTROPY;

IMAGE PROCESSING;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION SCIENCE; METHODOLOGY; MOTION; MOUSE; NUCLEAR MAGNETIC RESONANCE IMAGING; QUALITY CONTROL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ANIMALS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION THEORY; MAGNETIC RESONANCE IMAGING; MICE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MOTION; PATTERN RECOGNITION, AUTOMATED; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 35248820711     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45087-0_33     Document Type: Article

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