Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52554
Title: Blood vessel inpainting based technique for efficient localization and segmentation of optic disc in digital fundus images
Authors: Sarathi, M.P.
Dutta, M.K.
Singh, A.
Travieso, Carlos M. 
UNESCO Clasification: 33 Ciencias tecnológicas
Keywords: Blood vessel
Fundus image
In-painting
Optic disc
Region growing, et al
Issue Date: 2016
Journal: Biomedical Signal Processing and Control 
Abstract: The Optic disc (OD) nerve head region in general and OD center coordinates in particular form basis for study and analysis of various eye pathologies. The shape, contour and size of OD is vital in classification and grading of retinal diseases like glaucoma. There is a need to develop fast and efficient algorithms for large scale retinal disease screening. With this in mind, this paper present a novel framework for fast and fully automatic detection of OD and its accurate segmentation in digital fundus images. The methodology involves optic disc center localization followed by removal of vascular structure by accurate inpainting of blood vessels in the optic disc region. An adaptive threshold based Region Growing technique is then employed for reliable segmentation of fundus images. The proposed technique achieved significant results when tested on standard test databases like MESSIDOR and DRIVE with average overlapping ratio of 89% and 87%, respectively. Validation experiments were done on a labeled dataset containing healthy and pathological images obtained from a local eye hospital achieving an appreciable 91% average OD segmentation accuracy.
URI: http://hdl.handle.net/10553/52554
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2015.10.012
Source: Biomedical Signal Processing and Control[ISSN 1746-8094],v. 25, p. 108-117
Appears in Collections:Artículos
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