Lithological composition sensor based on digital image feature extraction, genetic selection of features and neural classification

Proceedings - 1999 International Conference on Information Intelligence and Systems, ICIIS 1999

Volumn , Issue , 1999, Pages 236-241

  Perez, Claudio ^a   Casali, Aldo ^a   Gonzalez, Guillermo ^a   Vallebuona, Gianna ^a   Vargas, Ricardo ^b  

^a UNIVERSITY OF CHILE   (Chile)

^b Superintendencia Ingeniería de Procesos y Desarrollo   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

BELT CONVEYORS; DATA MINING; EXTRACTION; FEATURE EXTRACTION; GENETIC ALGORITHMS; IMAGE CLASSIFICATION; IMAGE PROCESSING; LITHOLOGY; MINERALS; ROCKS; STATISTICAL TESTS;

CLASSIFICATION PERFORMANCE; COMPUTATION TIME; COMPUTER VISION SYSTEM; GENETIC SELECTION; LITHOLOGICAL COMPOSITION; MINERAL PROCESSING PLANTS; NEURAL CLASSIFICATION; SEGMENTATION PROCEDURE;

CLASSIFICATION (OF INFORMATION);

EID: 85026453051     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIIS.1999.810267     Document Type: Conference Paper

References (12)

1. Lee K, Herbst J, "A Method for On-Line Coarse Particle Size Measurement", Comminution-Theory and Practice, AIME, Chapter 40, pp.547-562, 1992.
2. Singh R, Chapman DP, Atkinson KB, "CCD Based Active Triangulation for Rock Surface Measurement", Proceedings of the SPIE - The International Society for Optical Engineering, Vol. 2598, pp.233-244, 1995.
3. Paar G, Polzleitner W, Bauer A, "A System for Online 3D measurements of Rough Natural Surfaces", Proceedings of the SPIE - The International Society for Optical Engineering, Vol. 2598, pp.371-382, 1995.
4. Petruck W, Lastra R, Evaluation of Recovery of Liberated and Unliberated Chalcopyrite by Flotation Columns in a Copper Cleaner Circuit", Int. J. Miner. Process, 40, 1993.
5. Petruck W, Techniques for Measuring Mineral Liberations by Image Analysis", Process Mineralogy II: Image Analysis, Ontario, Canada, 1996.
6. Marschallinger R, "Automatic Mineral Classification in the Macroscopic Scale", Computers & Geosciences, Vol. 23, No.1, pp.119-126, 1997.
7. Smith M, Kemeny J, "Blast Fragmentation Model Evaluation via Image Analysis", Emerging COmputer Techniques for Minerals Industry, Chapter 25, AIME, 1993.
8. Perez CA, Holzmann CA, "Improvements on Handwritten Digit Recognition by Genetic Selection of Neural Network Topology and by Augmented Training", 1997 IEEE International Conference on Systems, Man and Cybernetics, Orlando, USA, Oct.12-15, pp.14871491, 1997.
9. Estevez PA, Perez CA, Caballero RE, Buhler G, "Classification of Defects on Wood Boards Based on Neural Networks and Genetic Selection of Features. World Multiconference on Systemics, Cybernetics and Informatics, SCI'98, July 12-16, pp.624-629, 1998.
10. Ming-Yeong Teo, Li-Pheng Khoo, Siang-Kok Sim, "Application of Genetic Algorithms to Optimise Neocognitron Parameters", Neural Network World, No.3, pp.293-304, 1997.
11. Mitchell M, An Introduction to Genetic Algorithms, MIT Press, 209p., 1996.
12. Hannan, J.M.; Bishop, J.M., "A comparison of fast training algorithms over two real problems", Fifth International Conference on Artificial Neural Networks, IEE, London, U.K., (Conf. Publ. No.440), p. 1-6, 1997.