Presentation 2005-02-24
Non-linear Diffusion Filtering Derived from the Deep Structure Analysis in Scale Space
Haruhiko NISHIGUCHI, Atsushi IMIYA, Tomoya SAKAI,
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Abstract(in English) 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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Keyword(in English) Linear Scale Space / Non-linear Scale Space / Diffusion Filtering / Deep Structure Analysis / Hierarchical Analysis of Images
Paper # NLC2004-107,PRMU2004-189
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Committee NLC
Conference Date 2005/2/17(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Non-linear Diffusion Filtering Derived from the Deep Structure Analysis in Scale Space
Sub Title (in English)
Keyword(1) Linear Scale Space
Keyword(2) Non-linear Scale Space
Keyword(3) Diffusion Filtering
Keyword(4) Deep Structure Analysis
Keyword(5) Hierarchical Analysis of Images
1st Author's Name Haruhiko NISHIGUCHI
1st Author's Affiliation Faculty of Engineering, Chiba University()
2nd Author's Name Atsushi IMIYA
2nd Author's Affiliation IMIT, Chiba University
3rd Author's Name Tomoya SAKAI
3rd Author's Affiliation IMIT, Chiba University
Date 2005-02-24
Paper # NLC2004-107,PRMU2004-189
Volume (vol) vol.104
Number (no) 667
Page pp.pp.-
#Pages 6
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