Object tracking in SD-OCT images using Kalman filters

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Object tracking in SD-OCT images using Kalman filters

In this project a novel approach in segmenting retinal layers in 3D Optical Coherence Tomography images is presented. Using Kalman filter, retinal nerve fiber layer and bacillary layer is segmented by tracking these two layers through slices of a 3D UHR-SD OCT volume. The application of this algorit...

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Bibliographic Details
Main Author:	Guven, Deniz
Format:	Dissertation (University of Nottingham only)
Language:	English
Published:	2015
Subjects:	optical coherence tomography; Kalman filter; segmentation.
Online Access:	https://eprints.nottingham.ac.uk/30791/

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