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15 March 2006 Robust optic disk detection in retinal images using vessel structure and radon transform
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Abstract
A robust and computationally efficient algorithm is proposed for optic disk detection in retinal fundus images. The algorithm includes two steps: optic disk localization and boundary detection. In the localization step, vessels are modeled as a tree structure and the root of the vessel tree is detected automatically and served as the location of an optic disk. The implementation is based on an efficient multi-level binarization and A* search algorithm. In the boundary detection step, a circle is used to model the shape of an optic disk, and Radon transform is applied to estimate the center and radius of the circle. Experimental results of 48 retinal images with varying image qualities show 100% accuracy in localization and an accuracy of 92.36% in boundary detection. The success of the proposed algorithm is attributed to the robust features extracted from retinal images.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ke Huang and Michelle Yan "Robust optic disk detection in retinal images using vessel structure and radon transform", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444O (15 March 2006); https://doi.org/10.1117/12.654449
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