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Statistical method for foveal detection in retinal angiograms

Authors :
A. Haddouche
Mouloud Adel
Salah Bourennane
M. Rasigni
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)
Source :
Electronics Letters, Electronics Letters, 2005, 41, pp.632-633, Electronics Letters, IET, 2005, 41, pp.632-633
Publication Year :
2005
Publisher :
HAL CCSD, 2005.

Abstract

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.

Details

Language :
English
ISSN :
00135194 and 1350911X
Database :
OpenAIRE
Journal :
Electronics Letters, Electronics Letters, 2005, 41, pp.632-633, Electronics Letters, IET, 2005, 41, pp.632-633
Accession number :
edsair.doi.dedup.....0d84a3bb13b86861c7ade2474190822a