Abstract
This work presents a comparison of two statistical approaches for automatic classification of fibre shapes, i.e. Canonical Discriminant Analysis (CDA) and Mahalanobis Discriminant Analysis (MLDA). The discriminant analyses were applied to identify and classify several fibre cross-sectional shapes, including e.g. intact, collapsed, touching and fibrillated fibres. The discriminant analyses perform differently, giving clear indications of their suitability for classifying a given group of fibre elements. Compared to CDA, MLDA was more reliable and relatively stable.
This is a preview of subscription content, log in via an institution to check access.
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
Abramoff, M.D., Magelhaes, P.J., Ram, S.J.: Image Processing with Image. J. Biophotonics Int. 11(7), 36–42 (2004)
Chan, B.K., Jang, H.F., Seth, R.S.: Measurement of fibre wall thickness by confocal microscopy and image analysis. Appita J. 5(3), 229 (1998)
Chinga-Carrasco, G., Lenes, M., Johnsen, P.O., Hult, E.-L.: Computer-assisted scanning electron microscopy of wood pulp fibres: dimensions and spatial distributions in a polypropylene composite. Micron 40(7), 761–768 (2009)
McLachlan, G.J.: Discriminant Analysis and Statistical Pattern Recognition. John Wiley & Sons, New York (2004)
Graña, M., Torrealdea, F.J.: Hierarchically structured systems. European Journal of Operational Research 25, 20–26 (1986)
Kibblewhite, R.P., Bailey, D.G.: Measurement of fibre cross-section dimensions using image processing. Appita J. 41(4), 297–303 (1988)
Kure, K.-A., Dahlqvist, G.: Development of structural fibre properties in high intensity refining. Pulp. Paper Can. 99(7), 59–63 (1998)
Rasband, W.: ImageJ (1997), http://rsb.info.nih.gov/ij
Reme, P.A., Johnsen, P.O., Helle, T.: Assessment of fibre transverse dimensions using SEM and image analysis, J. Pulp. Pap. Sci. 28(4), 122–128 (2002)
Syverud, K., Chinga, G., Johnssen, P.O., Leirset, I., Wiik, K.: Analysis of lint particles from full-scale printing trials. Appita J. 60(4), 286–290 (2007)
Bow, S.-T.: Pattern Recognition and Image Preprocessing. Marcel Dekker, New York (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yamakawa, A., Chinga-Carrasco, G. (2010). Classification of Wood Pulp Fibre Cross-Sectional Shapes. In: Graña Romay, M., Corchado, E., Garcia Sebastian, M.T. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13769-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-13769-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13768-6
Online ISBN: 978-3-642-13769-3
eBook Packages: Computer ScienceComputer Science (R0)