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From Feature Extraction to Classification: A multidisciplinary Evolutionary approach applied to Granite Images

21. Vitorino Ramos, Pedro Pina, Fernando Muge; From Feature Extraction to Classification: A multidisciplinary Approach applied to Portuguese Granites, SCIA´99 – 11th Scandinavian Conference on Image Analysis, ISBN 87-88306-42-9, Vol.2, pp. 817-824, Kangerlussuaq, Greenland, 7-11 June 1999.

Vitorino Ramos - Genetic Algorithms in Image Classification and Feature Extraction
Figure - Clusters found (14 types of Portuguese Granites) vs. 2  Optimal Features by the Genetic Algorithm.


PDF file: paper (595 Kb)

Abstract: The purpose of this paper is to present a complete methodology based on a multidisciplinary approach, that goes from the extraction of features till the classification of a set of different portuguese granites. The set of tools to extract the features that characterise polished surfaces of the granites is mainly based on mathematical morphology. The classification methodology is based on a genetic algorithm capable of search 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 images treated, and their discriminant features.

Keywords: Portuguese grey Granites, Feature Extraction, Mathematical Morphology, Evolutionary Computation, Feature reduction, Genetic Algorithms, Nearest neighbour rule classifiers (k-NNR).

Cited by:

º Mujica-V, V.E.; Sisalem, D.; Popescu-Zaletin, R. "NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks", in WiOpt´05 - Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp. 259-266, Trentino, Italy, April 2005.

º Nicolai Marquardt, "Swarm-Intelligence: Modelle und Anwendungen", Seminar: VR-Technologien, Prof. Dr. B. Fröhlich, Bauhaus-Universität Weimar, Jan. 2004.

º Nicolai Marquardt, "Intelligenz von Schwärmen: Grundlagen, Simulations, Modelle und Anwendungen", Bauhaus-Universität Weimar, Jan. 2004.

º Hocenski, Zeljko; Nyarko, Emmanuel Karlo, "Surface Control of Ceramic Tiles using Neural Networks approach", in Proceedings of the 2002 IEEE International Symposium on Industrial Electronics, ISIE 2002 / Carlo Cecati (ed). - L Aquila : University of L Aquila , 2002. 1731-1734.

º Steven J. Schafrik, "A New Style of Simulation Model for Mining Systems", MSc Thesis, Faculty of the Virginia Polytechnic Institute and State University (Mining and Minerals Engineering), VA, USA, 2001.

º Keith Price, "Annotated Computer Vision Bibliography", Chapter 19 (19.9.3), Implementations and Applications of Vision Systems, Databases, Hardware and Software. Institute for Robotics and Intelligent Systems, School of Engineering (IRIS), University of Southern California, USA.

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[...] Interactions among many sporuliferous and ubiquitous abstractions may lead to increasing reality [...] V. Ramos, 2001.
http://www.laseeb.org/vramos + http://www.chemoton.org. Vitorino Ramos (Nov. 2007).