Abstract
Optical coherence tomography (OCT) is a modern technique that allows for in vivo, fast, high-resolution 3D imaging. OCT can be efficiently used in eye research and diagnostics, when retinal images are processed to extract borders of retinal layers. In this paper, we present two novel algorithms for delineation of three main borders in rodent retinal images. The first, fast algorithm is based on row projections in a sliding window. It provides initial borders for a slower but more precise variational algorithm that iteratively refines the borders. The results obtained by the two algorithms are quantitatively evaluated by comparison to the borders manually extracted in a set of retinal images.
Original language | English (US) |
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Pages (from-to) | 1129-1139 |
Number of pages | 11 |
Journal | Machine Vision and Applications |
Volume | 23 |
Issue number | 6 |
DOIs | |
State | Published - Nov 2012 |
Keywords
- Optical coherence tomography
- Retinal images
- Retinal layers
- Segmentation
- Variational methods
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Software
- Computer Science Applications