A nonlinear adaptive level set for image segmentation

IEEE Transactions on Cybernetics

Volumn 44, Issue 3, 2014, Pages 418-428

  Wang, Bin ^a   Gao, Xinbo ^a   Tao, Dacheng ^b   Li, Xuelong ^c  

^a XIDIAN UNIVERSITY   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

Active contour; Bayesian criterion; finite difference; image segmentation; level set; partial differential equation

Indexed keywords

ACTIVE CONTOURS; BAYESIAN CRITERION; COMPARISON RESULT; LEVEL SET; LEVEL SET METHOD; QUANTITATIVE EVALUATION; ROBUST SEGMENTATION; SEGMENTATION METHODS;

FINITE DIFFERENCE METHOD; PARTIAL DIFFERENTIAL EQUATIONS;

IMAGE SEGMENTATION;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; MACHINE LEARNING; NONLINEAR SYSTEM; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BAYES THEOREM; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84896861044     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2013.2256891     Document Type: Article

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