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.