Vitorino Ramos: Stochastic Geometry Simulation using Granulometrical Features

24. Pedro Pina, Vitorino Ramos, Fernando Muge; Stochastic Geometry Simulation using Granulometrical Features, in Kleingeld W.J. & Krige D. (Eds.), GEOSTAT´2000 - 6th International Congress on GeoStatistics, 10-14 April 2000, volume 2, pp. 912-921, Geostatistical Association of Southern Africa, Cape Town, South Africa.

Vitorino Ramos - Mathematical Morphology, Image analysis and Stochastic Simulation

Figures - Sequence to compute the new generated particles after application of an opening of a specific size: geodesical SKIZ, logical subtraction, reconstruction, intersection, and final result.

Abstract: In this paper the notion of morphological granulometrical deconstruction and the respective algorithms developed to simulate images are presented. They are mainly based on geometrical constraints and appeal to mathematical morphology, geostatistical and genetic algorithms tools. The model is tested with a set constituted by images of 13 different portuguese granites and validated by a high matching degree of the morphological granulometries (in measure and in number) and of the variograms computed on the experimental and simulated images.

Keywords: Mathematical Morphology, Feature Extraction, Image Analysis, Granulometrical Simulation, GeoStatistics.

Related Works:

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.

53. Vitorino Ramos, Jonathan Campbell, John Slater, John Gillespie, Ivan F. Bendezu and Fionn Murtagh, Swarming around Shellfish Larvae Images, in WCLC-05, 2nd World Congress on Lateral Computing, Bangalore, India, 16-18 Dec., 2005.

63. Vitorino Ramos, Carlos Fernandes, Agostinho C. Rosa, Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes, submitted to A. Porto, A. Pazos, W. Buno (Eds.), Advancing Artificial Intelligence through Biological Process Applications, IDEA Group Inc., 2007.

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.

59. Carlos Fernandes, Vitorino Ramos and Agostinho C. Rosa, Self-Regulated Artificial Ant Colonies on Digital Image Habitats, in Int. Journal of Lateral Computing, IJLC, vol. 2, nº 1, pp. 1-8, ISSN 0973-208X, Dec. 2005.

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.

69. Fernandes, C., Rosa, A.C., Ramos V., Binary Ant Algorithm, to appear in GECCO´07 - Genetic and Evolutionary Computation Conference, ACM Press, London, UK, 7-11 July, 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.

51. Vitorino Ramos, Ajith Abraham, Evolving a Stigmergic Self-Organized Data-Mining, in ISDA-04, 4th Int. Conf. on Intelligent Systems, Design and Applications, Budapest, Hungary, ISBN 963-7154-30-2, pp. 725-730, August 26-28, 2004.

45. Vitorino Ramos, Ajith Abraham, Swarms on Continuous Data, in CEC´03 - Congress on Evolutionary Computation, IEEE Press, ISBN 078-0378-04-0, pp.1370-1375, Canberra, Australia, 8-12 Dec. 2003.