Conference proceeding
Automatic detection of the optic disc, fovea and vacular arch in digital color photographs of the retina
British Machine Vision Conference 2005
2005
DOI: 10.5244/C.19.17
Abstract
We present a novel method that determines whether a macula centered retinal image is from the left or right eye and automatically detects the optic disc, the fovea and the vascular arch by inferring the location of a set of landmarks placed on these structures. The algorithm relies on a specific energy function that combines global and local cues. The global cues are derived from vascular atlases of the vessel orientation and thickness on the retina as well as a vascular distance map. A fourth component models the local appearance around each of the landmarks in the model and is able to estimate the distance between a position in the image and the target position of a landmark. For the minimization of the energy function a combination of optimization methods is used. We compare the results of several different system setups and combinations of energy function components with the performance of a second human observer. The best performing system localizes the OD in 91% of all cases, the fovea in 94% of all cases and correctly positions 74% of all vessel landmarks. The results show that a combination of global and local energy function components is required to obtain optimal results.
Details
- Title: Subtitle
- Automatic detection of the optic disc, fovea and vacular arch in digital color photographs of the retina
- Creators
- Meindert Niemeijer - University of IowaFrank ter Haar - Utrecht UniversityMichael D Abràmoff - University of Iowa, Ophthalmology and Visual Sciences
- Resource Type
- Conference proceeding
- Publication Details
- British Machine Vision Conference 2005
- Publisher
- BMVA; Great Britain
- DOI
- 10.5244/C.19.17
- Language
- English
- Date published
- 2005
- Academic Unit
- Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984240438102771
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