AUTOMATIC DELINEATION OF MACULAR REGIONS BASED ON A LOCALLY DEFINED CONTRAST FUNCTION

Kumar, J R Harish and Adhikari, Rittwik and Kamath, Yogish and Jampala, Rajani and Seelamantula, Chandra Sekhar (2017) AUTOMATIC DELINEATION OF MACULAR REGIONS BASED ON A LOCALLY DEFINED CONTRAST FUNCTION. In: 24th IEEE International Conference on Image Processing (ICIP), SEP 17-20, 2017, Beijing, PEOPLES R CHINA, pp. 1362-1366.

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Abstract

We consider the problem of fovea segmentation and develop a technique for delineation of macular regions based on the active-disc formalism that we recently introduced. The outlining problem is posed as one of the optimization of a locally defined contrast function using gradient-ascent maxi-mization with respect to the affine transformation parameters that characterize the active disc. For automatic localization of the fovea and initialization of the active disc, we use the directional-derivative-based matched filter. We report validation results on three publicly available fundus image databases, amounting to a total of 1370 fundus images for automatic fovea localization and 370 fundus images for fovea segmentation and macular regions delineation. The proposed method results in a fovea localization accuracy of 100%, 92%, and 99.4%, and an average Dice similarity index of 77.78%, 67.46%, and 76.56% on DRIVE, DIARETDBO, and MESSIDOR fundus image databases, respectively. We have also developed an ImageJ plugin and an iOS App based on the proposed method.

Item Type:	Conference Proceedings
Series.:	IEEE International Conference on Image Processing ICIP
Publisher:	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Additional Information:	Copy right for this article belong to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	07 May 2018 19:00
Last Modified:	07 May 2018 19:00
URI:	http://eprints.iisc.ac.in/id/eprint/59788

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