Edge detection in ultrasound imagery using the instantaneous coefficient of variation

IEEE Transactions on Image Processing

Volumn 13, Issue 12, 2004, Pages 1640-1655

  Yu, Yongjian ^a   Acton, Scott T ^b  

^a UNIVERSITY OF VIRGINIA HEALTH SYSTEM   (United States)

^b University of Virginia   (United States)

Author keywords

Edge detection; Instantaneous coefficient of variation; Speckle; Ultrasonic image

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBABILITY; STATISTICS; ULTRASONIC IMAGING;

EDGE LOCALIZATION; INSTANTANEOUS COEFFICIENT OF VARIATION; SPECKLED IMAGERY;

EDGE DETECTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; INFORMATION RETRIEVAL; INSTRUMENTATION; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY;

EID: 9744258807     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2004.836166     Document Type: Article

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