A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields

IEEE Transactions on Medical Imaging

Volumn 27, Issue 2, 2008, Pages 237-246

  Lam, Benson Shu Yan ^a   Yan, Hong ^a,b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Blood vessel segmentation; Gradient vector field; Image segmentation; Retina image analysis

Indexed keywords

BLOOD VESSEL SEGMENTATION; CENTERLINES; GRADIENT VECTOR FIELD; LAPLACIAN OPERATOR; NOISY OBJECTS; NORMALIZED GRADIENT; VECTOR FIELDS; VESSEL SEGMENTATION;

BLOOD VESSELS; LAPLACE EQUATION; MATHEMATICAL OPERATORS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; RETINA BLOOD VESSEL; RETINA DISEASE; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINAL DISEASES; RETINAL VESSELS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 41649102639     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.909827     Document Type: Article

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