Abstract
One objective for classifying pixels belonging to specific textures in natural images is to achieve the best performance in classification as possible. We propose a new unsupervised hybrid classifier. The base classifiers for hybridization are the Fuzzy Clustering and the parametric Bayesian, both supervised and selected by their well-tested performance, as reported in the literature. During the training phase we estimate the parameters of each classifier. During the decision phase we apply fuzzy aggregation operators for making the hybridization. The design of the unsupervised classifier from supervised base classifiers and the automatic computation of the final decision with fuzzy aggregation operations, make the main contributions of this paper.
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References
Drimbarean, P.F., Whelan, P.F.: Experiments in Colour Texture Analysis. Pattern Recognition Letters 22, 1161–1167 (2003)
Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On Combining Classifiers. IEEE Trans. on Pattern Analysis and Machine Intelligence 20(3), 226–239 (1998)
Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley, Chichester (2004)
Valdovinos, R.M., Sánchez, J.S., Barandela, R.: Dynamic and Static Weighting in Classifier Fusion. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, vol. 3523, pp. 59–66. Springer, Heidelberg (2005)
Duda, R.O., Hart, P.E., Stork, D.S.: Pattern Classification. Wiley, Chichester (2000)
Zimmermann, H.J.: Fuzzy Set Theory and its Applications. Kluwer Academic Publishers, Norwell (1991)
Guijarro, M., Pajares, G., Abreu, R.: A New Unsupervised Hybrid Classifier for Natural Textures in Images. In: HAIS, vol. 44, pp. 280–287. Springer, Heidelberg (2007)
Derrac, J., García, S., Herrera, F.: A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds.) HAIS 2009. LNCS, vol. 5572, pp. 557–564. Springer, Heidelberg (2009)
Corchado, E., Abraham, A., Carvalho, A.C.P.L.F.D.: Hybrid intelligent algorithms and applications. Information Science 180(14), 2633–2634 (2010)
Wozniak, M., Zmyslony, M.: Designing Fusers on the Basis of Discriminants - Evolutionary and Neural Methods of Training. HAIS 1, 590–597 (2010)
Abraham, A., Corchado, E., Corchado, J.M.: Hybrid learning machines. Neurocomputing 72(13-15), 2729–2730 (2009)
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Guijarro, M., Pajares, G., Herrera, P.J., de la Cruz, J.M. (2011). Performance Analysis of Fuzzy Aggregation Operations for Combining Classifiers for Natural Textures in Images. In: Corchado, E., Kurzyński, M., Woźniak, M. (eds) Hybrid Artificial Intelligent Systems. HAIS 2011. Lecture Notes in Computer Science(), vol 6679. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21222-2_22
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DOI: https://doi.org/10.1007/978-3-642-21222-2_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21221-5
Online ISBN: 978-3-642-21222-2
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