Abstract
In this paper we propose a method of using Weighted Order Statistic (WOS) filters for the task of pattern detection. Usually WOS filters are applied to noise removal. An efficient algorithm for pattern detection is described in details with emphasis put on the problem of a proper choice of filter windows. Also practical results of different pattern detection cases are presented.
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Yli–Harja, O., Astola, J., Neuvo, Y.: Analysis of the Properties of Median and Weighted Median Filters Using Threshold Logic and Stack Filter Representation. IEEE Trans. Signal Processing 39(2), 395–417 (1991)
Yu, P.T., Liao, W.H.: Weighted Order Statistics Filters - Their Classifications, Some Problems and Conversion Algorithm. IEEE Trans. Signal Processing 42(10), 2678–2691 (1994)
Yin, L., Yang, R., Gabbouj, M., Neuvo, Y.: Weighted Median Filters: A Tutorial. IEEE Trans. Circuit and Systems -II: Analog and Digital Signal Processing 43(3), 157–192 (1996)
Cieslik, D.: Nonlinear Filters in image processing. M. Sc. Thesis (in polish), Warsaw University of Technology (2003)
Marshall, S.: New Direct Design Method for Weighted Order Statistic Filters. IEE Proc.-Vis. Image Signal Process. 151(1), 1–8 (2004)
Arce, G., Hall, T., Barner, K.: Permution Weighted Order Filter Lattices. IEEE Trans. Image Processing 4(8), 1070–1083 (1995)
Kowalski, J.: Weighted Order Statistic Filter Chip Based on Cellular Neural Network Architecture. In: Proc. of IEEE Int. Conf. Image Processing (ICIP03) 2003, vol. II, pp. 575–578.
Porter, R., Eads, D., Hush, D., Theiler, J.: Weighted Order Statistic Classifiers with Large Rank-Order Margin. In: Proc. of International Conference in Machine Learning (August 2003)
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© 2007 Springer Berlin Heidelberg
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Skoneczny, S., Cieslik, D. (2007). Weighted Order Statistic Filters for Pattern Detection. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71629-7_70
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DOI: https://doi.org/10.1007/978-3-540-71629-7_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71590-0
Online ISBN: 978-3-540-71629-7
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