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AUTOMATIC OPTIC CUP SEGMENTATION USING KASA'S CIRCLE FITTING TECHNIQUE

Kumar, JR Harish and Harsha, S and Kamath, Yogish and Jampala, Rajani and Seelamantula, Chandra Sekhar (2017) AUTOMATIC OPTIC CUP SEGMENTATION USING KASA'S CIRCLE FITTING TECHNIQUE. In: TENCON 2017 - 2017 IEEE REGION 10 CONFERENCE, NOV 05-08, 2017, MALAYSIA, pp. 25-30.

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Abstract

We present a technique for optic cup segmentation and outlining based on Kasa's circle fit model. The outlining problem is posed as a task of fitting a circle to the sparse set of optic cup boundary points. For automatic localization of the optic disc, we use the matched filtering technique. We clear-off the non-optic disc area by drawing a circle with point of optic disc localization as the coordinates of the center and diameter just above the normal optic disc diameter to overcome the problem of optic cup overestimation due to any retinal pathology. We report validation results on three publicly available fundus image databases, amounting to a total of 1411 fundus images for automatic optic disc localization, and 300 fundus images randomly selected for optic cup segmentation and outlining. The proposed method results in an optic disc localization accuracy of 94.06%, 94.17%, and 95.45%, and an average Dice similarity index of 0.7302, 0.7050, and 0.7120 on DRISHTI-GS, MESSIDOR, and DRIONS-DB fundus image databases, respectively. The average computation times for optic disc localization and optic cup segmentation are 3.83 and 5.33 seconds, respectively.

Item Type: Conference Proceedings
Additional Information: IEEE Region 10 Conference (TENCON), MALAYSIA, NOV 05-08, 2017 copyright belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 28 Mar 2018 16:18
Last Modified: 28 Mar 2018 16:18
URI: http://eprints.iisc.ac.in/id/eprint/59428

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