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Proceedings Paper

Vessel segmentation in retinal images
Author(s): Dietrich Paulus; Serge Chastel; Tobias Feldmann
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Paper Abstract

Detection of the papilla region and vessel detection on images of the retina are problems that can be solved with pattern recognition techniques. Topographic images, as provided e.g. by the HRT device, as well as fundus images can be used as source for the detection. It is of diagnostic importance to separate vessels inside the papilla area from those outside this area. Therefore, detection of the papilla is important also for vessel segmentation. In this contribution we present state of the art methods for automatic disk segmentation and compare their results. Vessels detected with matched filters (wavelets, derivatives of the Gaussian, etc.) are shown as well as vessel segmentation using image morphology. We present our own method for vessel segmentation based on a special matched filter followed by image morphology. In this contribution we argue for a new matched filter that is suited for large vessels in HRT images.

Paper Details

Date Published: 14 April 2005
PDF: 10 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.595358
Show Author Affiliations
Dietrich Paulus, Univ. Koblenz Landau (Germany)
Serge Chastel, Univ. Koblenz Landau (Germany)
Tobias Feldmann, Univ. Koblenz Landau (Germany)


Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

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