Statistical method for foveal detection in retinal angiograms
| Autor: | A. Haddouche, Mouloud Adel, Salah Bourennane, M. Rasigni |
|---|---|
| Přispěvatelé: | Institut FRESNEL (FRESNEL), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Bourennane, Salah, Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU) |
| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: |
genetic structures
Computer science Image processing 030204 cardiovascular system & hematology 01 natural sciences Signal 010309 optics Ophthalmoscopy 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Foveal 0103 physical sciences medicine Computer vision Electrical and Electronic Engineering medicine.diagnostic_test business.industry Retinal Foveal avascular zone medicine.disease eye diseases chemistry [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] Angiography sense organs Artificial intelligence [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR] business Retinopathy |
| Zdroj: | Electronics Letters Electronics Letters, 2005, 41, pp.632-633 Electronics Letters, IET, 2005, 41, pp.632-633 |
| ISSN: | 0013-5194 1350-911X |
| Popis: | A detection algorithm, aimed at separating the foveal avascular zone from the eye background in a numerical angiogram image, is developed. This method is based on the use of a test derived from signal statistical theory. Results show that our approach could be considered as a good computer-assisted tool for location and follow-up of retinal pathologies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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