Automatic detection of optic disc based on PCA and mathematical morphology

IEEE Transactions on Medical Imaging

Volumn 32, Issue 4, 2013, Pages 786-796

  Morales, Sandra ^a   Naranjo, Valery ^a   Angulo, Us ^c   Alcaniz, Mariano ^a,b  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b INSTITUTO DE SALUD CARLOS III   (Spain)

^c PSL RESEARCH UNIVERSITY   (France)

Author keywords

Generalized distance function; geodesic transformation; optic disc; principal component analysis; watershed transformation

Indexed keywords

AUTOMATIC SEGMENTATIONS; DEGREE OF VARIABILITY; FALSE POSITIVE FRACTIONS; GENERALIZED DISTANCES; GEODESIC TRANSFORMATION; OPTIC DISC; STATE-OF-THE-ART METHODS; WATERSHED TRANSFORMATIONS;

ALGORITHMS; MATHEMATICAL MORPHOLOGY; PRINCIPAL COMPONENT ANALYSIS; WATERSHEDS;

LANDFORMS;

ACCURACY; ALGORITHM; ARTICLE; AUTOMATION; DATA BASE; MORPHOLOGY; OPTIC DISK; PRINCIPAL COMPONENT ANALYSIS; RETINA BLOOD VESSEL; RETINA IMAGE; WATERSHED;

ADULT; AGED; ALGORITHMS; FEMALE; FUNDUS OCULI; GLAUCOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; OCULAR HYPERTENSION; OPTIC DISK; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 84875986237     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2238244     Document Type: Article

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