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

Kevin Loquin Isabelle Bloch 1, 2 Kiyoko Nakashima Florence Rossant Pierre-Yves Boelle M. Pâques
1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
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.
Keywords : Adaptive Optics Photoreceptor detection in vivo diagnosis retina imaging
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Conference papers
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https://hal.telecom-paris.fr/hal-02286293
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 3:34:52 PM
Last modification on : Wednesday, September 30, 2020 - 8:54:14 AM

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  • HAL Id : hal-02286293, version 1

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LTCI | CNRS | PARISTECH | INSTITUT-TELECOM | IDS | IMAGES

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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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