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...
| Main Author: | |
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| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/30791/ |
| _version_ | 1848794060738789376 |
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| author | Guven, Deniz |
| author_facet | Guven, Deniz |
| author_sort | Guven, Deniz |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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 algorithm to 3D UHR-SD OCT volumes show that it is a viable framework for detecting and tracking NFL and BL layers. |
| first_indexed | 2025-11-14T19:10:12Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-30791 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T19:10:12Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-307912018-01-05T17:08:10Z https://eprints.nottingham.ac.uk/30791/ Object tracking in SD-OCT images using Kalman filters Guven, Deniz 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 algorithm to 3D UHR-SD OCT volumes show that it is a viable framework for detecting and tracking NFL and BL layers. 2015-12-10 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/30791/1/CS-dissert_74_Guven_Deniz_2015.pdf Guven, Deniz (2015) Object tracking in SD-OCT images using Kalman filters. [Dissertation (University of Nottingham only)] optical coherence tomography; Kalman filter; segmentation. |
| spellingShingle | optical coherence tomography; Kalman filter; segmentation. Guven, Deniz Object tracking in SD-OCT images using Kalman filters |
| title | Object tracking in SD-OCT images using Kalman filters |
| title_full | Object tracking in SD-OCT images using Kalman filters |
| title_fullStr | Object tracking in SD-OCT images using Kalman filters |
| title_full_unstemmed | Object tracking in SD-OCT images using Kalman filters |
| title_short | Object tracking in SD-OCT images using Kalman filters |
| title_sort | object tracking in sd-oct images using kalman filters |
| topic | optical coherence tomography; Kalman filter; segmentation. |
| url | https://eprints.nottingham.ac.uk/30791/ |