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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Harangi, B., Qureshi, R.J., Csutak, A., Peto, T., Hajdu, A.: Automatic Detection of the Optic Disc Using Majority Voting in a Collection of Optic Disc Detectors. In: 7th IEEE International Symposium on Biomedical Imaging, pp. 1329–1332. IEEE Press, Rotterdam (2010)
Qureshi, R.J., Kovacs, L., Harangi, B., Nagy, B., Peto, T., Hajdu, A.: Combining Algorithms for Automatic Detection of Optic Disc and Macula in Fundus Images. Computer Vision and Image Understanding 116(1), 138–145 (2012)
Hansen, L.K., Salamon, P.: Neural Network Ensembles. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 993–1001 (1990)
Kuncheva, L.I.: Combining Pattern Classifiers, Methods and Algorithms. John Wiley & Sons, Inc., New Jersey (2004)
Toman, H., Kovacs, L., Jonas, A., Hajdu, L., Hajdu, A.: A Generalization of Majority Voting Scheme for Medical Image Detectors. In: Corchado, E., Kurzyński, M., Woźniak, M. (eds.) HAIS 2011, Part II. LNCS (LNAI), vol. 6679, pp. 189–196. Springer, Heidelberg (2011)
Lam, L., Suen, C.Y.: Application of Majority Voting to Pattern Recognition: An Analysis of Its Behavior and Performance. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 27, 553–568 (1997)
Appel, M.J., Najim, C.A., Russo, R.P.: Limit Laws for the Diameter of a Random Point Set. Adv. in Appl. Probab. 34(1), 1–10 (2002)
Altincay, H.: On Naive Bayesian Fusion of Dependent Classifiers. Pattern Recognition Letters 26, 2463–2473 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Toman, H., Kovacs, L., Jonas, A., Hajdu, L., Hajdu, A. (2012). Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-28931-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28930-9
Online ISBN: 978-3-642-28931-6
eBook Packages: Computer ScienceComputer Science (R0)