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Proceedings Paper

Segmentation and image enhancement using coupled anisotropic diffusion equations
Author(s): Eric J. Pauwels; Marc Proesmans; Luc J. Van Gool; Theo Moons; Andre J. Oosterlinck
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Paper Abstract

This paper introduces a number of systems of coupled, non-linear diffusion equations and investigates their role in edge-preserving smoothing and noise suppression. The basic idea is that several maps describing the image undergo coupled development towards an equilibrium state representing the enhanced image. These maps could contain: e.g., intensity, local edge strength, range or another quantity. All these maps, including the edge map, contain continuous rather than all-or-nothing information, following a strategy of least commitment. Each of the approaches has been developed and tested on a parallel transputer network.

Paper Details

Date Published: 22 October 1993
PDF: 12 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.158000
Show Author Affiliations
Eric J. Pauwels, Katholieke Univ. Leuven (Belgium)
Marc Proesmans, Katholieke Univ. Leuven (Belgium)
Luc J. Van Gool, Katholieke Univ. Leuven (Belgium)
Theo Moons, Katholieke Univ. Leuven (Belgium)
Andre J. Oosterlinck, Katholieke Univ. Leuven (Belgium)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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