TY - GEN
T1 - Active discs for automated optic disc segmentation
AU - Kumar, J. R.Harish
AU - Pediredla, Aditya Kumar
AU - Seelamantula, Chandra Sekhar
N1 - Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2016/2/23
Y1 - 2016/2/23
N2 - Glaucoma is currently one of the major causes of vision loss worldwide. Though the lost vision capability cannot be recovered, preventive steps such as clinical diagnosis and necessary treatment can be taken in order to minimize visual impairment due to glaucoma. The process of clinical diagnosis needs manual examination and outlining of the optic disc and cup, which is subjective and time consuming. In this paper, we propose a methodology for automatic segmentation and outlining of the optic disc using an active disc formulation. The method uses a disc template as a prototype. The initialization is automated using a matched filtering technique. We choose the disc to be isotropic, and allow for translation, isotropic scaling, and optimization of the corresponding parameters. The active disc is evolved towards the boundary of the optic disc by minimizing a local energy function. We report validations on three publicly available databases MES-SIDOR, DRIONS-DB, and Drishti-GS containing 1200, 110, and 101 retinal fundus images, respectively. The corresponding F-scores 0.8456, 0.8380, and 0.9077, respectively, for the databases show robustness, and high correlation of the proposed algorithm with the expert segmentation.
AB - Glaucoma is currently one of the major causes of vision loss worldwide. Though the lost vision capability cannot be recovered, preventive steps such as clinical diagnosis and necessary treatment can be taken in order to minimize visual impairment due to glaucoma. The process of clinical diagnosis needs manual examination and outlining of the optic disc and cup, which is subjective and time consuming. In this paper, we propose a methodology for automatic segmentation and outlining of the optic disc using an active disc formulation. The method uses a disc template as a prototype. The initialization is automated using a matched filtering technique. We choose the disc to be isotropic, and allow for translation, isotropic scaling, and optimization of the corresponding parameters. The active disc is evolved towards the boundary of the optic disc by minimizing a local energy function. We report validations on three publicly available databases MES-SIDOR, DRIONS-DB, and Drishti-GS containing 1200, 110, and 101 retinal fundus images, respectively. The corresponding F-scores 0.8456, 0.8380, and 0.9077, respectively, for the databases show robustness, and high correlation of the proposed algorithm with the expert segmentation.
UR - http://www.scopus.com/inward/record.url?scp=84964746632&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964746632&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2015.7418190
DO - 10.1109/GlobalSIP.2015.7418190
M3 - Conference contribution
AN - SCOPUS:84964746632
T3 - 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
SP - 225
EP - 229
BT - 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Y2 - 13 December 2015 through 16 December 2015
ER -