Hierarchical tree of image derived by diffusion filtering

Authors:
Haruhiko Nishiguchi;Atsushi Imiya;Tomoya Sakai
Affiliations:
School of Science and Technology, Chiba University, Japan;Institute of Media and Information Technology, Chiba University, Chiba, Japan;Institute of Media and Information Technology, Chiba University, Chiba, Japan
Venue:
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Year:
2006

Citing 5
Cited 0

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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.