Abstract
Morphological covariance, one of the most frequently employed texture analysis tools offered by mathematical morphology, makes use of the sum of pixel values, i.e. “volume” of its input. In this paper, we investigate the potential of alternative measures to volume, and extend the work of Wilkinson (ICPR’02) in order to obtain a new covariance operator, more sensitive to spatial details, namely the spatial covariance. The classification experiments are conducted on the publicly available Outex 14 texture database, where the proposed operator leads not only to higher classification scores than standard covariance, but also to the best results reported so far for this database when combined with an adequate illumination invariance model.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Serra, J.: Image Analysis and Mathematical Morphology, vol. 1. Academic Press, London (1982)
Soille, P.: Morphological Image Analysis: Principles and Applications, 2nd edn. Springer, Berlin (2003)
Hu, M.K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory 8, 179–187 (1962)
Wilkinson, M.H.F.: Generalized pattern spectra sensitive to spatial information. In: Proceedings of the 16th ICPR, Quebec City, Canada, vol. 1, pp. 21–24 (2002)
Mäenpää, T., Pietikäinen, M.: Classification with color and texture: jointly or separately? Pattern Recognition 37, 1629–1640 (2004)
Comer, M., Delp, E.: Morphological operations for color image processing. Journal of Eletronic Imaging 8, 279–289 (1999)
Ojala, T., Mäenpää, T., Pietikäinen, M., Viertola, J., Kyllönen, J., Huovinen, S.: Outex: New framework for empirical evaluation of texture analysis algorithms. In: Proceedings of the 16th ICPR, Quebec City, Canada, vol. 1, pp. 701–706 (2002)
Hanbury, A., Kandaswamy, U., Adjeroh, D.A.: Illumination-invariant morphological texture classification. In: Ronse, C., Najman, L., Decencière, E. (eds.) Proceedings of the 7th ISMM, Computational Imaging and Vision, vol. 30, pp. 377–386. Springer, Dordrecht (2005)
Finlayson, G.D., Hordley, S., Schaefer, G., Tian, G.: Illuminant and device invariant colour using histogram equalisation. Pattern Recognition 38, 179–190 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aptoula, E., Lefèvre, S. (2006). Spatial Morphological Covariance Applied to Texture Classification. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_69
Download citation
DOI: https://doi.org/10.1007/11848035_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39392-4
Online ISBN: 978-3-540-39393-1
eBook Packages: Computer ScienceComputer Science (R0)