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Communication Dans Un Congrès Année : 2012

Photoreceptor Detection in In-Vivo Adaptive Optics Images of the Retina: Statistical Validation

Résumé

This article presents a photoreceptor detection algorithm applied to in-vivo Adaptive Optics (AO) images of the retina obtained from an advanced ophthalmic diagnosis device. Our algorithm is based on a recursive construction of thresholded connected components when the seeds of the recursions are the regional maxima of the deconvoluted image. This algorithm is validated on a gold standard dataset obtained thanks to manual cones detections made by ophtalmologist physicians .
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Dates et versions

hal-01959816 , version 1 (19-12-2018)

Identifiants

  • HAL Id : hal-01959816 , version 1

Citer

Kevin Loquin, Isabelle Bloch, Kiyoko Nakashima, Florence Rossant, Pierre-Yves Boëlle, et al.. Photoreceptor Detection in In-Vivo Adaptive Optics Images of the Retina: Statistical Validation. ICIAR: International Conference Image Analysis and Recognition, Jun 2012, Aveiro, Portugal. ⟨hal-01959816⟩
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