Paper Info
Title
Photoreceptor detection in in-vivo Adaptive Optics images of the retina: Towards a simple interactive tool for the physicians
Abstract
This article presents a novel 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 image. This algorithm results in a labeling of the AO image which is then used to segment the image with a marker-controlled watershed algorithm. This method has been implemented in a software currently used by medical experts, and preliminary results are very encouraging.
Year
DOI
Venue
2011
10.1109/ISBI.2011.5872385
Chicago, IL
Keywords
Field
DocType
adaptive optics,biomedical equipment,biomedical optical imaging,eye,image segmentation,medical expert systems,medical image processing,photodetectors,recursive estimation,advanced ophthalmic diagnosis device,image segment,in-vivo adaptive optics images,marker-controlled watershed algorithm,medical experts,photoreceptor detection,recursive construction,retina,simple interactive tool,software,thresholded connected components,Adaptive Optics,Photoreceptor detection,in vivo diagnosis,retina imaging
Computer vision,Pattern recognition,Visualization,Retina,Computer science,Image segmentation,Software,Artificial intelligence,Pixel,Connected component,Recursion,Adaptive optics
Conference
ISSN
ISBN
Citations 
1945-7928 E-ISBN : 978-1-4244-4128-0
978-1-4244-4128-0
2
PageRank 
References 
Authors
0.50
2
4
Name
Order
Citations
PageRank
Loquin, K.120.50
Isabelle Bloch22123170.75
Nakashima, K.320.50
Florence Rossant413315.22