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Proceedings Paper

Improvement of retinal blood vessel detection by spur removal and Gaussian matched filtering compensation
Author(s): Di Xiao; Janardhan Vignarajan; Dong An; Mei-Ling Tay-Kearney; Yogi Kanagasingam
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Paper Abstract

Retinal photography is a non-invasive and well-accepted clinical diagnosis of ocular diseases. Qualitative and quantitative assessment of retinal images is crucial in ocular diseases related clinical application. In this paper, we proposed approaches for improving the quality of blood vessel detection based on our initial blood vessel detection methods. A blood vessel spur pruning method has been developed for removing the blood vessel spurs both on vessel medial lines and binary vessel masks, which are caused by artifacts and side-effect of Gaussian matched vessel enhancement. A Gaussian matched filtering compensation method has been developed for removing incorrect vessel branches in the areas of low illumination. The proposed approaches were applied and tested on the color fundus images from one publicly available database and our diabetic retinopathy screening dataset. A preliminary result has demonstrated the robustness and good performance of the proposed approaches and their potential application for improving retinal blood vessel detection.

Paper Details

Date Published: 24 March 2016
PDF: 8 pages
Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97852E (24 March 2016); doi: 10.1117/12.2216799
Show Author Affiliations
Di Xiao, Australian e-Health Research Ctr. (Australia)
Janardhan Vignarajan, Australian e-Health Research Ctr. (Australia)
Dong An, Royal Perth Hospital (Australia)
Mei-Ling Tay-Kearney, Royal Perth Hospital (Australia)
Yogi Kanagasingam, Australian e-Health Research Ctr. (Australia)

Published in SPIE Proceedings Vol. 9785:
Medical Imaging 2016: Computer-Aided Diagnosis
Georgia D. Tourassi; Samuel G. Armato III, Editor(s)

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