A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features

IEEE Transactions on Medical Imaging

Volumn 30, Issue 1, 2011, Pages 146-158

  Marín, Diego ^a   Aquino, Arturo ^a   Gegúndez Arias, Manuel Emilio ^a   Bravo, José Manuel ^a  

^a UNIVERSITY OF HUELVA   (Spain)

Author keywords

Diabetic retinopathy; moment invariants; retinal imaging; telemedicine; vessels segmentation

Indexed keywords

AUTOMATED SCREENING; BLOOD VESSEL DETECTION; BLOOD VESSEL SEGMENTATION; COMPUTER ANALYSIS; DIABETIC RETINOPATHY; FAST IMPLEMENTATION; GRAY-LEVEL; IMAGE CONDITIONS; MOMENT INVARIANT; PIXEL CLASSIFICATION; PIXEL REPRESENTATION; RETINAL IMAGE; RETINAL IMAGING; TEST IMAGES; VASCULAR STRUCTURES; VESSEL DETECTION; VESSELS SEGMENTATION;

AUTOMATION; BLOOD; BLOOD VESSELS; DATABASE SYSTEMS; EYE PROTECTION; IMAGE ENHANCEMENT; NEURAL NETWORKS; OPHTHALMOLOGY; PIXELS; TELEMEDICINE;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; FACTUAL DATABASE; FLUORESCENCE ANGIOGRAPHY; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; RETINA BLOOD VESSEL; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; DATABASES, FACTUAL; DIABETIC RETINOPATHY; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS; SENSITIVITY AND SPECIFICITY;

EID: 78650885895     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2064333     Document Type: Article

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