Retinal image analysis using curvelet transform and multistructure elements morphology by reconstruction

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 5, 2011, Pages 1183-1192

  Miri, Mohammad Saleh ^a   Mahloojifar, Ali ^b  

^a IA United States   (United States)

^b TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Blood vessel segmentation; curvelet transform; morphology operators by reconstruction; multistructure elements morphology; retinal image

Indexed keywords

BLOOD VESSEL DETECTION; BLOOD VESSEL SEGMENTATION; CONNECTED COMPONENT; CURVELET TRANSFORM; CURVELET TRANSFORMS; EFFECTIVE TOOL; HUMAN RECOGNITION; INTRINSIC CHARACTERISTICS; MORPHOLOGICAL OPERATOR; MULTI-STRUCTURE; OCULAR FUNDUS; RETINAL BLOOD VESSELS; RETINAL IMAGE; RETINAL IMAGE ANALYSIS; THIN VESSELS; THRESHOLDING METHODS;

BLOOD; EDGE DETECTION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MATHEMATICAL OPERATORS; MORPHOLOGY; OPHTHALMOLOGY;

BLOOD VESSELS;

ACCURACY; ALGORITHM; ANALYTIC METHOD; ARTICLE; CONNECTED COMPONENT ANALYSIS; CURVELET TRANSFORM; DATA BASE; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MATHEMATICAL PHENOMENA; RETINA BLOOD VESSEL; RETINA IMAGE;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; FUNDUS OCULI; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; RETINAL VESSELS;

EID: 79955529649     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2097599     Document Type: Article

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