Improved detection of the central reflex in retinal vessels using a generalized dual-Gaussian model and robust hypothesis testing

IEEE Transactions on Information Technology in Biomedicine

Volumn 12, Issue 3, 2008, Pages 406-410

  Narasimha Iyer, Harihar ^a,b   Mahadevan, Vijay ^a,c   Beach, James M ^d,e   Roysam, Badrinath ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b CARL ZEISS SMT AG   (Germany)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d STENNIS SPACE CENTER   (United States)

^e UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Dual wavelength retinal imaging; Hollow blood vessels; Hypothesis testing; Mathematical models of vasculature; Retinal fundus images; Vasculature detection and segmentation

Indexed keywords

ALGORITHMS; BLOOD VESSELS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; OPHTHALMOLOGY; OXIMETERS;

DUAL-WAVELENGTH RETINAL IMAGING; RETINAL FUNDUS IMAGES; SINGLE-GAUSSIAN MODEL; VASCULATURE;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FLUORESCENCE ANGIOGRAPHY; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NORMAL DISTRIBUTION; REFLEX; REPRODUCIBILITY; RETINA BLOOD VESSEL; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REFLEX; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 44449174114     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2007.897782     Document Type: Article

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