Abstract
Unilever is a British–Dutch multinational consumer goods company with a large R&D operation which includes a laboratory located in Port Sunlight, Wirral, England. In the late 1990s researchers at the University of Bristol collaborated with scientists at Unilever to explore the utility of multiscale (wavelet) methods for characterising greyscale texture and constructed statistical models to enable the objective classification of image textures. These methods were applied to problems in fabric care. We briefly explain the technical background that underlies the applied methods and show how they were used on products data.
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Daubechies, I.: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)
Eckley, I.A., Nason, G.P., Treloar, R.L.: Locally stationary wavelet fields with application to the modelling and analysis of image texture. J. Roy. Stat. Soc. C 59(4), 595–616 (2010)
Eckley, I.A., Nason, G.P.: LS2W: locally stationary wavelet fields in R. J. Stat. Soft. 43(3), 1–23 (2011)
Mallat, S.G.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Patt. Anal. Mach. Intell. 11, 674–693 (1989). doi:10.1109/34.192463
Nason, G.P.: Wavelet Methods in Statistics with R. Springer, New York (2008)
Nason, G.P.: Wavethresh: Wavelets Statistics and Transforms R, package version 4.6.6. Springer, New York (2013). http://CRAN.R-project.org/package=wavethresh
Nason, G.P., von Sachs, R., Kroisandt, G.: Wavelet processes and adaptive estimation of the evolutionary wavelet spectrum. J. R. Stat. Soc. B 62, 271–292 (2000)
Percival, D.B., Walden, A.T.: Wavelet Methods for Time Series Analysis. Cambridge University Press, Cambridge (2000)
Petrou, M., Sevilla, P.G.: Image Processing: Dealing with Texture. Wiley, Chichester (2006)
Acknowledgments
We acknowledge Dr. Rob Treloar whose enthusiasm, scientific curiosity and encyclopaedic knowledge considerably advanced the projects described above.
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Eckley, I., Nason, G. (2016). Industrial Application of Multiscale Texture Analysis. In: Aston, P., Mulholland, A., Tant, K. (eds) UK Success Stories in Industrial Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-25454-8_24
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DOI: https://doi.org/10.1007/978-3-319-25454-8_24
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