A supervised method for retinal blood vessel segmentation using line strength, multiscale Gabor and morphological features

2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011

Volumn , Issue , 2011, Pages 410-415

  Fraz, M M ^a   Remagnino, P ^a   Hoppe, A ^a   Velastin, Sergio ^a   Uyyanonvara, B ^b   Barman, S A ^a  

^a KINGSTON UNIVERSITY   (United Kingdom)

^b THAMMASAT UNIVERSITY   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN CLASSIFIER; BRANCHING PATTERNS; CLINICAL DISORDERS; FEATURE VECTORS; GABOR FILTER; GAUSSIAN MIXTURE MODEL; HUMAN OBSERVERS; LINE STRENGTH; LINEAR OPERATORS; MORPHOLOGICAL FEATURES; MULTIPLE SCALE; MULTISCALES; OCULAR FUNDUS IMAGES; RETINAL BLOOD VESSELS; RETINAL IMAGE; RETINAL VASCULATURE; SPATIAL INTENSITY; TEST IMAGES; VESSEL GEOMETRY;

BLOOD VESSELS; IMAGE PROCESSING; MATHEMATICAL OPERATORS; OPHTHALMOLOGY;

DATABASE SYSTEMS;

EID: 84857491209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSIPA.2011.6144129     Document Type: Conference Paper

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