AUTOMATIC PAPILLA SHAPE DETECTION IN STEREO RETINAL IMAGES BASED ON IMAGE FUSION FOR COMPUTER AIDED GLAUCOMA DIAGNOSTICS

Yandong Tang, Axel von Freyberg, Horst Selzer, Gert Goch

Abstract

This paper presents a number of image processing methods, including the fusion method, for analysing digitised fundus images. For computer aided Glaucoma diagnostics it is necessary to robustly and automatically detect the main regions (e.g. the papilla) within an image. This represents a major challenge, since a broad variety of images taken in different clinics with different cameras exist. For this purpose adapted methods are actually developed in the EU-project GlauCAD (Glaucoma Prevention by Computer Aided Diagnostics).

Keywords

image processing, glaucoma

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PWC-2003-TC10-011.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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