Automatic extraction of retinal vessels based on gradient orientation analysis

Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011

Volumn , Issue , 2011, Pages 102-107

  Onkaew, Danu ^a   Turior, Rashmi ^a   Uyyanonvara, Bunyarit ^a   Kondo, Toshiaki ^a  

^a THAMMASAT UNIVERSITY   (Thailand)

Author keywords

blood vessels; feature detection; feature extraction; gradient orientation; retinal image

Indexed keywords

ANATOMICAL FEATURES; AUTOMATED ANALYSIS; AUTOMATIC EXTRACTION; COMMON PROBLEMS; EFFICIENT METHOD; EYE DISEASE; FEATURE DETECTION; GRADIENT MAGNITUDE; GRADIENT ORIENTATION ANALYSIS; GRADIENT ORIENTATIONS; IMAGE INTENSITIES; LABELED IMAGES; LOW CONTRAST; MORPHOLOGICAL OPERATIONS; MULTIPLE SCALE; NON-UNIFORM ILLUMINATION; PERFORMANCE CRITERION; RECEIVER OPERATING CHARACTERISTICS; RETINAL DISEASE; RETINAL IMAGE; RETINAL VESSEL EXTRACTION; RETINAL VESSELS; SEGMENTATION ACCURACY; THRESHOLDING; UNSUPERVISED METHOD;

ALGORITHMS; BLOOD; DATABASE SYSTEMS; DIAGNOSIS; EYE PROTECTION; FEATURE EXTRACTION; MATHEMATICAL MORPHOLOGY; OPHTHALMOLOGY; SOFTWARE ENGINEERING;

BLOOD VESSELS;

EID: 79960408112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JCSSE.2011.5930102     Document Type: Conference Paper

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