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Title: Optic disk localization by a robust fusion method
Authors: Wong, Tien Yin
Zhang, Jielin
Yin, Fengshou
Liu, Jiang
Baskaran, Mani
Wong, Damon W. K.
Cheng, Ching Yu
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics
Issue Date: 2013
Source: Zhang, J., Yin, F., Wong, D. W. K., Liu, J., Baskaran, M., Cheng, C. Y., et al. (2013). Optic disk localization by a robust fusion method. Medical Imaging 2013 : Computer-Aided Diagnosis, 8670, 86702G-.
Abstract: The optic disk localization plays an important role in developing computer-aided diagnosis (CAD) systems for ocular diseases such as glaucoma, diabetic retinopathy and age-related macula degeneration. In this paper, we propose an intelligent fusion of methods for the localization of the optic disk in retinal fundus images. Three different approaches are developed to detect the location of the optic disk separately. The first method is the maximum vessel crossing method, which finds the region with the most number of blood vessel crossing points. The second one is the multichannel thresholding method, targeting the area with the highest intensity. The final method searches the vertical and horizontal region-of-interest separately on the basis of blood vessel structure and neighborhood entropy profile. Finally, these three methods are combined using an intelligent fusion method to improve the overall accuracy. The proposed algorithm was tested on the STARE database and the ORIGAlight database, each consisting of images with various pathologies. The preliminary result on the STARE database can achieve 81.5%, while a higher result of 99% can be obtained for the ORIGAlight database. The proposed method outperforms each individual approach and state-of-the-art method which utilizes an intensity-based approach. The result demonstrates a high potential for this method to be used in retinal CAD systems.
DOI: 10.1117/12.2006339
Rights: © 2013 Society of Photo-Optical Instrumentation Engineers (SPIE). This paper was published in Medical Imaging 2013: Computer-Aided Diagnosis and is made available as an electronic reprint (preprint) with permission of SPIE. The paper can be found at the following official DOI: []. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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