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16 p, 2.1 MB Retinal Blood Vessel Extraction from Fundus Images Using Enhancement Filtering and Clustering / Dash, Jyotiprava (Veer Surendra Sai University of Technology (Burla, Índia). Department of Electronics and Telecommunication Engineering) ; Parida, Priyadarsan (GIET University (Gunupur, India). Department of Electronics and Communication Engineering) ; Bhoi, Nilamani (Veer Surendra Sai University of Technology (Burla, Índia). Department of Electronics and Telecommunication Engineering)
Screening of vision troubling eye diseases by segmenting fundus images eases the danger of loss of sight of people. Computer assisted analysis can play an important role in the forthcoming health care system universally. [...]
2020 - 10.5565/rev/elcvia.1239
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 1 (2020) , p. 38-52 (Regular Issue)  
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2.
14 p, 1.1 MB Detection of retinal blood vessels from ophthalmoscope images using morphological approach / Dash, Jyotiprava (Veer Surendra Sai University of Technology (Burla, Índia)) ; Bhoi, Nilamani (Veer Surendra Sai University of Technology (Burla, Índia))
Accurate segmentation of retinal blood vessels is an essential task for diagnosis of various pathological disorders. In this paper, a novel method has been introduced for segmenting retinal blood vessels which involves pre-processing, segmentation and post-processing. [...]
2017 - 10.5565/rev/elcvia.913
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 1 (2017) , p. 1-14 (Regular Issue)  
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