Generalized weighted majority voting with an application to algorithms having spatial output

Authors:
Henrietta Toman;Laszlo Kovacs;Agnes Jonas;Lajos Hajdu;Andras Hajdu
Affiliations:
University of Debrecen, Debrecen, Hungary;University of Debrecen, Debrecen, Hungary;University of Debrecen, Debrecen, Hungary;University of Debrecen, Debrecen, Hungary;University of Debrecen, Debrecen, Hungary
Venue:
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Year:
2012

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Abstract

In this paper we propose a method using a generalization of the weighted majority voting scheme to locate the optic disc (OD) in retinal images automatically. The location with the maximal sum of the weights of OD center candidates falling into a disc of radius predefined in the clinical protocol is chosen for optic disc. We have worked out a weighted voting scheme, where besides the weights, an additional (e.g. geometrical) condition has to be taken into account in making the final decision. We can achieve better overall performance with this generalized weighted voting system than with the weighted majority voting and each individual algorithm.