Abstract
This article describes the algorithms and the mechatronic system developed for the clustering and classification of marble slabs on production line according to their texture. The method used for the recognition of textures is based on the Sum and Difference Histograms, a faster version of the Co-occurrence Matrices, and the classifier has been implemented by using an LVQ neural network. For each pattern (a marble slab color image), a set of statistical, texture-dependant, parameters is extracted. The input of the classifier (the LVQ network) is the set of parameters calculated before, normalized in the range 0, 1, which forms a vector that characterize the pattern shown to the net; the desired output of the network is the class where the pattern belongs to (supervised learning). In our tests, seven different color spaces were used, each one with three different neighbourhoods of pixels. The selected samples chosen for testing the algorithms have been marble slabs of “Crema Marl Sierra de la Puerta” type. The neural network has been implemented by using MATLAB.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Garceráan-Hernández, V., García-Pérez, L. G., Clemente-Pérez, P., Tomás-Balibrea, L. M., Puyosa-Piña, H. D.: Traditional and neural networks algorithms: applications to the inspection of marble slabs. IEEE International Conference on Systems, Man and Cybernetics; 0-7803-2559-1, Vancouver (Canada) (1995) 3960–3965
Van de Wouwer, G.: Wavelets for multiscale texture analysis. University of Antwerpen (1998)
Unser, M.: Sum and difference histograms for texture classification. IEEE Trans. on PAMI Vol.PAMI-8 No.1 (1986) 118–125
Haralick. R. M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. on SMC Vol.SMC-3 No.6 (1973) 610–621
Haralick, R. M.: Statistical and structural approaches to texture. Proc. IEEE Vol. 67No.5 (1979) 786–804
Gotlieb, C. C., Kreyszig, H. E.: Texture descriptors based on co-occurrence matrices. Computer Vision, Graphics and Image Processing 51 (1990) 70–86
Kohonen, T.: The self-organizing map. Proc. IEEE Vol.78No.9 (1990) 1464–1480
Demuth, H., Beale, M.: Neural network toolbox user’s guide. The Mathworks Inc. (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martńez-Cabeza-de-Vaca-Alajarín, J., Tomás-Balibrea, LM. (1999). Automatic Classification System of Marble Slabs in Production Line According to Texture and Color Using Artificial Neural Networks. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_21
Download citation
DOI: https://doi.org/10.1007/3-540-48375-6_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66366-9
Online ISBN: 978-3-540-48375-5
eBook Packages: Springer Book Archive