Supervised classification of marble textures using support vector machines

Electronics Letters

Volumn 40, Issue 11, 2004, Pages 664-666

  Martinez Alajarin J ^a  

^a Tecn de Computadoras y Proyectos   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SOFTWARE; DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; MULTILAYER NEURAL NETWORKS; TEXTURES;

AUTOMATIC MECHATRONIC SYSTEM; COMPUTATIONAL TIME; HISTOGRAMS; SUPPORT VECTOR MACHINES (SVM);

MARBLE;

EID: 2942711701     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20040446     Document Type: Article

References (6)

1. Vapnik, V: 'The nature of statistical learning theory' (Springer-Verlag, New York, 1995)
2. Kim, K.I., Jung, K., Park, S.H., and Kim, H.J.: 'Supervised texture segmentation using support vector machines', Electron. Lett., 1999, 35, (22), pp. 1935-1937
3. Li, S., Kwok, J.T., Zhu, H., and Wang, Y.: 'Texture classification using the support vector machines', Pattern Recognit., 2003, 36, pp. 2883-2893
4. Martínez-Alajarin, J., and Tomás-Balibrea, L.M.: 'Automatic classification system of marble slabs in production line according to texture and colour using artificial neural networks', Lect. Notes Comput. Sci., 1999, 1689, pp. 167-176
5. Unser, M.: 'Sum and difference histograms for texture classification', IEEE Trans. Pattern Anal. Mach. Intell., 1986, 8, (1), pp. 118-125
6. Joachims, T.: 'Making large-scale SVM learning practical' in Scholkopf, B., Surges, C., Smola, A. (Eds.): 'Advances in kernel methods - support vector learning' (MIT Press, 1999)