Automated retinal blood vessels segmentation based on simplified PCNN and fast 2D-Otsu algorithm

Journal of Central South University of Technology (English Edition)

Volumn 16, Issue 4, 2009, Pages 640-646

  Yao, Chang ^a   Chen, Hou Jin ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Blood vessel segmentation; Neuron; Otsu; Pulse coupled neural network (PCNN)

Indexed keywords

BLOOD VESSEL SEGMENTATION; CHARACTERISTICS OF DYNAMICS; COMPUTATION TIME; FALSE POSITIVE RATES; GAUSSIANS; ITERATION TIME; MATCHED FILTERS; OTSU; OTSU ALGORITHM; PULSE COUPLED NEURAL NETWORK; PULSE COUPLED NEURAL NETWORK (PCNN); RETINAL BLOOD VESSELS; RETINAL IMAGE; SEGMENTATION RESULTS; TEST RESULTS; TRUE POSITIVE RATES;

ALGORITHMS; BLOOD; NEURAL NETWORKS; OPHTHALMOLOGY;

BLOOD VESSELS;

EID: 68849108176     PISSN: 10059784     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11771-009-0106-3     Document Type: Article

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