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Retina mosaicing using local features

Philippe C. Cattin, and Herbert Bay, and Luc Van Gool, and Gabor Szekely, . (2006) Retina mosaicing using local features. In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006 : 9th International Conference, Copenhagen, Denmark, October 1 - 6, 2006 ; Proceedings, Part 2. Berlin, pp. 185-192.

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Official URL: http://edoc.unibas.ch/dok/A6308291

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Abstract

Laser photocoagulation is a proven procedure to treat various pathologies of the retina. Challenges such as motion compensation, correct energy dosage, and avoiding incidental damage are responsible for the still low success rate. They can be overcome with improved instrumentation, such as a fully automatic laser photocoagulation system. In this paper, we present a core image processing element of such a system, namely a novel approach for retina mosaicing. Our method relies on recent developments in region detection and feature description to automatically fuse retina images. In contrast to the state-of-the-art the proposed approach works even for retina images with no discernable vascularity. Moreover, an efficient scheme to determine the blending masks of arbitrarily overlapping images for multi-band blending is presented.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
Note:Also published in: Lecture notes in computer science. - Berlin : Springer. - 4191 (2006), S. 185-192 -- Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:03 Jul 2015 08:53
Deposited On:03 Jul 2015 08:53

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