Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification

IEEE Transactions on Medical Imaging

Volumn 25, Issue 9, 2006, Pages 1214-1222

  Soares, João V B ^b   Leandro, Jorge J G ^b   Cesar Jr , Roberto M ^b   Jelinek, Herbert F ^c   Cree, Michael J ^a,d  

^a IEEE   (New Zealand)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

^c CHARLES STURT UNIVERSITY   (Australia)

^d UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

Fundus; Gabor; Pattern classification; Retina; Vessel segmentation; Wavelet

Indexed keywords

FUNDUS; GABOR; RETINA; VESSEL SEGMENTATION; WAVELET;

CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; MATHEMATICAL MODELS; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION; VECTOR QUANTIZATION; VISION; WAVELET TRANSFORMS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; RETINA BLOOD VESSEL; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 33748099339     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.879967     Document Type: Article

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