Abstract
This paper aims to introduce a class of non-linear diffusion filterings based on deep structure analysis in scale space. In linear scale space, the trajectory of extrema is called stationary curves. This curves provides deep structure analysis and hierarchical expression of signals. The motion of extrema in linear scale space is controlled by a function of the higher derivatives of the signals. We introduce a non-linear diffusion filterings based on the absolute values of second derivative of signals.
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Nishiguchi, H., Imiya, A., Sakai, T. (2006). Hierarchical Tree of Image Derived by Diffusion Filtering. In: Reulke, R., Eckardt, U., Flach, B., Knauer, U., Polthier, K. (eds) Combinatorial Image Analysis. IWCIA 2006. Lecture Notes in Computer Science, vol 4040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774938_36
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DOI: https://doi.org/10.1007/11774938_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35153-5
Online ISBN: 978-3-540-35154-2
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