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

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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Conference papers
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https://hal.telecom-paristech.fr/hal-02286293
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Submitted on : Friday, September 13, 2019 - 3:34:52 PM
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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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