Abstract
We describe the application of 1-Dimensional Kohonen Networks in the classification of color 2D images which has been evaluated in Popocatépetl Volcano’s images. The Popocatépetl, located in the limits of the State of Puebla in México, is active and under monitoring since 1997. We will consider one of the problems related with the question if our application of the Kohonen Network classifies according to the total intensity color of an image or well, if it classifies according to the connectivity, i.e. the topology, between the pixels that compose an image. In order to give arguments that support our hypothesis that our procedures share the classification according to the topology of the pixels in the images, we will present two approaches based a) in the evaluation of the classification given by the network when the pixels in the images are permuted; and,b) when an additional metric to the Euclidean distance is introduced.
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Antonio, A., Menéndez, L., Gerardo, S., Pérez-Aguila, R.: Image Based Reasoning Applied to the Comparison of the Popocatépetl Volcano’s Fumaroles. In: Proceedings of the IX Ibero-American Workshops on Artificial Intelligence, Iberamia, November 22 - 23, National Institute of Astrophysics, Optics and Electronics (INAOE), Puebla, México, pp. 3–8 (2004) ISBN: 968-863-783-6
Antonio, A., Menéndez, L., Gerardo, S., Pérez-Aguila, R.: A Procedure for Comparing Color 2-Dimensional Images Through their Extrusions to the 5-Dimensional Colorspace. In: Proceedings of the 15th International Conference on Electronics, Communications, and Computers CONIELECOMP 2005, Puebla, México, February 28 to March 2, pp. 300–305. IEEE Computer Society, Los Alamitos (2005) ISBN: 0-7695-2283-1
CENAPRED (Centro Nacional de Prevención de Desastres), México. Web Site (April 2003), http://www.cenapred.unam.mx
Eric, D., Patrick, N.: Neural Networks. The Macmillan Press Ltd, Basingstoke (1992)
José, H., Victor, M.: Redes Neuronales Artificiales. Alfaomega, México (2000)
Pérez Aguila, R.: The Extreme Vertices Model in the 4D space and its Applications in the Visualization and Analysis of Multidimensional Data Under the Context of a Geographical Information System. Thesis for the Master’s Degree in Sciences. Universidad de las Américas - Puebla. Puebla, México (2003)
Ritter, H., Martinetz, T., Schulten, K.: Neural Computation and Self-Organizing Maps, An introduction. Addison-Wesley Publishing Company, Reading (1992)
Zerubia, J., Yu, S., Kato, Z., Berthod, M.: Bayesian Image Classification Using Markov Random Fields. Image and Vision Computing 14, 285–295 (1996)
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Pérez-Aguila, R., Gómez-Gil, P., Aguilera, A. (2005). Non-supervised Classification of 2D Color Images Using Kohonen Networks and a Novel Metric. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_29
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DOI: https://doi.org/10.1007/11578079_29
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