Optic disc segmentation using circular hough transform and curve fitting

dc.contributor.authorGopalakrishnan, A.
dc.contributor.authorAlmazroa, A.
dc.contributor.authorRaahemifar, K.
dc.contributor.authorLakshminarayanan, V.
dc.date.accessioned2020-03-30T10:22:29Z
dc.date.available2020-03-30T10:22:29Z
dc.date.issued2015
dc.description.abstractWe present a technique to segment the optic disc (OD) boundary from a color retinal fundus image. The technique used involves the extraction and removal of blood vessels using a top hat transform and an inpainting process. Then, a circular Hough transform is applied to the detected edges to obtain a coarse boundary of the OD and following which probable points of the optic disc are fed to a curve fitting algorithm which uses a higher order polynomial to draw the final boundary of the optic disc. The optic disc segmentation is a crucial part in estimating the CDR (Cup-to-disc ratio) which can be used as an early indicator of glaucoma and for following the progression/remission of the disease. � 2015 IEEE.en_US
dc.identifier.citation2015 2nd International Conference on Opto-Electronics and Applied Optics: Advances in Optical Sciences and Engineering II, IEM OPTRONIX 2015, 2015, Vol., , pp.-en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/8631
dc.titleOptic disc segmentation using circular hough transform and curve fittingen_US
dc.typeBook chapteren_US

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