Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation - Archive ouverte HAL Access content directly
Conference Papers Year : 2012

Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation

Kevin Loquin
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Kiyoko Nakashima
  • Function : Author
Florence Rossant
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Pierre-Yves Boelle
M. Pâques
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Abstract

This article presents a photoreceptor detection algorithm ap- plied 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 im- age. This algorithm is validated on a gold standard dataset obtained thanks to manual cones detections made by ophtalmologist physicians.
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Dates and versions

hal-02286293 , version 1 (13-09-2019)

Identifiers

  • HAL Id : hal-02286293 , version 1

Cite

Kevin Loquin, Isabelle Bloch, Kiyoko Nakashima, Florence Rossant, Pierre-Yves Boelle, et al.. Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation. International Conference on Image Analysis and Recognition - ICIAR 2012, Jun 2012, Aveiro, Portugal. pp.408-415. ⟨hal-02286293⟩
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