Abstract
The main topic of the article is to give a detailed description of the new and promising quadtree decomposition texture analysis method used for paper formation determination. Paper formation or configuration of fibers, fines and fillers in the two-dimensional spatial xy-domain of the paper is a very important property and image analysis application for the paper industry. The basis of the method is the successive quadtree decomposition process resulting in a two-dimensional block partitioning of the formation structure image analysed. In this context the blocks represents a unit of variation, and the size of a quadtree block is controlled by a set of different parameters. In addition to the primary features detected by the algorithm, characterization of a large set of secondary features is performed, including gradient analysis and spatial distribution analysis.
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References
Kajanto, I.M., Komppa, A., Ritala, R.K., “How formation should be measured and characterized”, Nord. Pulp Pap. Res. J., 4(3), pp 219–228, (1989)
Gullichsen, J., Paulapuro, H., Niskanen, K., “Papermaking science and technology 16. Paper physics”, Fapet Oy, Helsinki, Finland, 324pp, (1998)
Johansson, P., Norman, B., “Methods for evaluating formation, print unevenness and gloss variation developed at STFI”, 1996 Process and product quality conference, Cincinnati, OH, USA, pp 139–145, 14–17 Oct., (1996)
Kajanto, I., Komppa, A., Ritala, R.K., “The application determines how formation should be measured and characterized”, Paper presented at XXIII EUCEPA Conference, Harrogate, UK, vol. 2, pp 624–636, 31 May–3 June, (1988)
Gibson, J.D., Berger, T., Lookabaugh, T., Lindbergh, D., Baker, R.L., “Digital Compression for Multimedia Principles and Standards”, Morgan Kaufmann Publishers, (1998)
Ofek, E., Shilat, E., Rappoport, A., Werman, M., “Highlight and Reflection-Independent Multiresolution Textures from Image Sequences”, IEEE Computer Graphics and Applications, vol.17(2), March–April, (1997)
Rehrauer, H., Seidel, K., Datcu, M., “Multiscale Image Segmentation with a Dynamic Label Tree”, IGARSS’98, (1998)
Smith, J., “Integrated Spatial and Feature Image Systems: Retrieval, Analysis and Compression,” Ph.D. Dissertation, Columbia University, (1997)
Watt, A., “3D Computer Graphics”, 3rd ed., Addison-Wesley, (2000)
Keim, D., Hinneburg, A., “Clustering techniques for large data sets: From the past to the future”, SIGKDD 1999 International Conference on Knowledge Discovery and Data Mining, San Diego, California, USA, (1999)
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Lieng, E. (2003). Quadtree Decomposition Texture Analysis in Paper Formation Determination. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_8
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DOI: https://doi.org/10.1007/3-540-45103-X_8
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