Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images

IEEE Journal of Biomedical and Health Informatics
Sohini RoychowdhuryKeshab K Parhi

Abstract

This paper presents a novel classification-based optic disc (OD) segmentation algorithm that detects the OD boundary and the location of vessel origin (VO) pixel. First, the green plane of each fundus image is resized and morphologically reconstructed using a circular structuring element. Bright regions are then extracted from the morphologically reconstructed image that lie in close vicinity of the major blood vessels. Next, the bright regions are classified as bright probable OD regions and non-OD regions using six region-based features and a Gaussian mixture model classifier. The classified bright probable OD region with maximum Vessel-Sum and Solidity is detected as the best candidate region for the OD. Other bright probable OD regions within 1-disc diameter from the centroid of the best candidate OD region are then detected as remaining candidate regions for the OD. A convex hull containing all the candidate OD regions is then estimated, and a best-fit ellipse across the convex hull becomes the segmented OD boundary. Finally, the centroid of major blood vessels within the segmented OD boundary is detected as the VO pixel location. The proposed algorithm has low computation time complexity and it is robust to variations in ...Continue Reading

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Citations

Dec 9, 2017·Journal of Medical Systems·Muhammad Salman HaleemBrian J Song
May 10, 2018·Medical & Biological Engineering & Computing·Ahmad S AbdullahJavad Rahebi
Apr 20, 2019·Journal of Healthcare Engineering·Yuan GaoYaoming Zhuang
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Jan 20, 2021·Artificial Intelligence in Medicine·Md Kamrul HasanRobert Martí
Feb 3, 2021·Journal français d'ophtalmologie·A BilalS Mazhar

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