Vitorino Ramos: Exploiting and Evolving Rn Mathematical Morphology Feature Spaces

55. Vitorino Ramos, Pedro Pina, Exploiting and Evolving Rⁿ Mathematical Morphology Feature Spaces, in Ronse Ch., Najman L., Decencière E. (Eds.), Mathematical Morphology: 40 Years On, pp. 465-474, Springer, Dordrecht, The Netherlands, 2005.

PDF file: paper (628 Kb)

Abstract: A multidisciplinary methodology that goes from the extraction of features till the classification of a set of different portuguese granites is presented in this paper. The set of tools to extract the features that characterise the polished surfaces of granites is mainly based on mathematical morphology. The classification methodology is based on a genetic algorithm capable of search for the input feature space used by the nearest neighbour rule classifier. Results show that is adequate to perform feature reduction and simultaneous improve the recognition rate. Moreover, the present methodology represents a robust strategy to understand the proper nature of the textures studied and their discriminant features.

Keywords: Genetic Algorithms, Image Classification, Feature extraction, Size-Intensity Diagram, Feature reduction, Granite Textures, Nearest Neighbour rule Classifiers.

Related Works:

70. Ramos, V., Fernandes, C., Rosa, A.C., Abraham, A., Computational Chemotaxis in Ants and Bacteria over Dynamic Environments, submitted to CEC´07 - Congress on Evolutionary Computation, IEEE Press, Singapore, 25-28 Sep. 2007.

31. Vitorino Ramos, Fernando Muge, Map Segmentation by Colour Cube Genetic K-Mean Clustering, Proc. of ECDL´2000 - 4th European Conference on Research and Advanced Technology for Digital Libraries, J. Borbinha and T. Baker (Eds.), ISBN 3-540-41023-6, Lecture Notes in Computer Science, Vol. 1923, pp. 319-323, Springer-Verlag -Heidelberg, Lisbon, Portugal, 18-20 Sep. 2000.

26. Vitorino Ramos, Fernando Muge; Image Colour Segmentation by Genetic Algorithms, RecPad´2000 - 11th Portuguese Conference on Pattern Recognition, in Aurélio C. Campilho and A.M. Mendonça (Eds.), ISBN 972-96883-2-5, pp. 125-129, Porto, Portugal, May 11-12, 2000.

39. Vitorino Ramos, Fernando Muge, Pedro Pina, Self-Organized Data and Image Retrieval as a Consequence of Inter-Dynamic Synergistic Relationships in Artificial Ant Colonies, in Javier Ruiz-del-Solar, Ajith Abraham and Mario Köppen (Eds.), Frontiers in Artificial Intelligence and Applications, Soft Computing Systems - Design, Management and Applications, 2nd Int. Conf. on Hybrid Intelligent Systems, IOS Press, Vol. 87, ISBN 1 5860 32976, pp. 500-509, Santiago, Chile, Dec. 2002.

35. Vitorino Ramos, The Biological Concept of Neoteny in Evolutionary Colour Image Segmentation - Simple Experiments in Simple Non-Memetic Genetic Algorithms, in Applications of Evolutionary Computation, (Eds.), EvoIASP´01 - 3rd European Workshop on Evolutionary Computation in Image Analysis and Signal Processing [helded by EuroGP´01 - European Conference on Genetic Programming], Lake Como, Milan, Italy, Lecture Notes in Computer Science, Vol. 2037, pp. 364-378, Springer-Verlag, Berlin-Heidelberg, April 18-20, 2001.

29. Vitorino Ramos, Filipe Almeida, Artificial Ant Colonies in Digital Image Habitats - A Mass Behaviour Effect Study on Pattern Recognition, Proceedings of ANTS´2000 - 2nd International Workshop on Ant Algorithms (From Ant Colonies to Artificial Ants), Marco Dorigo, Martin Middendorf & Thomas Stüzle (Eds.), pp. 113-116, Brussels, Belgium, 7-9 Sep. 2000.

42. Vitorino Ramos, Juan J. Merelo, Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning, in AEB´2002 – 1st Spanish Conference on Evolutionary and Bio-Inspired Algorithms, E. Alba, F. Herrera, J.J. Merelo et al. (Eds.), pp. 284-293, Centro Univ. de Mérida, Mérida, Spain, 6-8 Feb. 2002.