Abstract
Automatic microfossil detection system allows to extract the position of the microfossils in a concentrate of mineral grains, speeding up the time required to analyze each sample. In this paper we study the use of Multilayer Perceptrons and Radial Basis Function Networks applied to the automatic microfossil teeth detection problem, focusing on the dependence of the performance with the size of the network, and with the size of the training set. The data used in the experiments are three images of concentrates with micromammal teeth from Somosaguas paleontological site, in Madrid (Spain). The obtained results demonstrate RBFNs perform better than MLPs in most of the considered cases, detecting most of the microfossil teeth in the images.
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References
Bollmann, J., Quinn, P., Vela, M., Brabec, B., Brechner, S., Corts, M.Y., Hilbrecht, H., Schmidt, D.N., Schiebel, R., Thierstein, H.R.: Automated particle analysis: calcareous microfossils. In: Image Analysis, Sediments and Paleoenvironments. Kluwer Academic Publishers, Dordrecht (2003)
Sala-Burgos, N., Gil-Pita, R.: Automatic Microfossil Detection in Somosaguas Sur paleontologic site (Pozuelo de Alarcon, Madrid, Spain) using Multilayer Perceptrons. WSEAS Trans. on Signal Processing 2(2), 218–223 (2006)
Luis, A., Hernando, J.M.: The microvertebrates of the Middle Miocene of Somosaguas Sur (Pozuelo de Alarcón, Madrid, Spain). Coloquios de Paleontología 51, 87–136 (2000)
Mínguez Gandú, D.: Marco estratigráfico y sedimentológico de los yacimientos Miocenos de Somosaguas (Madrid, Spain). Coloquios de Paleontología 51, 183–196 (2000)
López Martinez, N., Élez Villar, J., Hernando Hernando, J.M., Luis Cavia, A., Mazo, A., Minguez Gandú, D., Morales, J., Polonio Martín, I., Salesa, M.J., Snchez, I.M.: The fossil vertebrates from Somosaguas (Pozuelo, Madrid, Spain). Coloquios de Paleontología 51, 69–85 (2000)
López Martínez, N.: Técnicas de Estudio de Microvertebrados. Los micromamíferos y su interés bioestratigráfico. Paleontología de Vertebrados. Faunas y filogenia, aplicación y sociedad, Ed. Univ. País Vasco, 345–365 (1992)
Van Trees, H.L.: Detection, estimation, and modulation theory, 1st edn. Wiley, Chichester (1968)
Ruck, D.W., Rogers, S.K., Kabrisky, M., Oxley, M.E., Suter, B.W.: The multilayer Perceptron as an approximation to a Bayes optimal discriminant function. IEEE Transactions on Neural Networks 1(1), 296–298 (1990)
Hagan, M.T., Menhaj, M.B.: Training Feedforward Networks with the Marquardt Algorithm. IEEE Trans. on Neural Networks 5(6), 989–993 (1994)
MacKay, D.J.C.: Bayesian interpolation. Neu. Comp. 4, 415–447 (1992)
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Gil-Pita, R., Sala-Burgos, N. (2006). Using Neural Networks to Detect Microfossil Teeth in Somosaguas Sur Paleontological Site. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science, vol 4224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875581_60
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DOI: https://doi.org/10.1007/11875581_60
Publisher Name: Springer, Berlin, Heidelberg
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