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Smoothing a Network of Planar Polygonal Lines Obtained with Vectorization

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Graphics Recognition. Recent Advances and New Opportunities (GREC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5046))

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Abstract

A new method of smoothing polygonal lines obtained as the result of vectorization and creating the network is suggested. This method performs not only smoothing but also filtering of vectorization errors taking into account that these errors appear not only as the errors of vertices but as errors of node coordinates as well. An important part of this algorithm is a technique of building piecewise polynomial base functions for local approximation of the polylines of the network. The suggested algorithm has a linear computational complexity for exponential weight functions. The necessity of using finite weight functions is shown. Algorithms of calculating tangents and curvatures are derived. Shrinking errors and errors of parameters are analyzed. A method of compensation of the shrinking errors is suggested and how to do smoothing with variable intensity is shown.

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Wenyin Liu Josep Lladós Jean-Marc Ogier

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Gribov, A., Bodansky, E. (2008). Smoothing a Network of Planar Polygonal Lines Obtained with Vectorization. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_21

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  • DOI: https://doi.org/10.1007/978-3-540-88188-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88184-1

  • Online ISBN: 978-3-540-88188-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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