Segmentation and image enhancement using coupled anisotropic diffusion equations

Eric J. Pauwels; Marc Proesmans; Luc J. Van Gool; Theo Moons; Andre J. Oosterlinck

doi:10.1117/12.158000

22 October 1993 Segmentation and image enhancement using coupled anisotropic diffusion equations

Eric J. Pauwels, Marc Proesmans, Luc J. Van Gool, Theo Moons, Andre J. Oosterlinck

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.158000
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

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.

Citation Download Citation

Eric J. Pauwels, Marc Proesmans, Luc J. Van Gool, Theo Moons, and Andre J. Oosterlinck "Segmentation and image enhancement using coupled anisotropic diffusion equations", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.158000

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