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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| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2015
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| Online Access: | https://eprints.nottingham.ac.uk/30791/ |