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22 October 1993 Segmentation and image enhancement using coupled anisotropic diffusion equations
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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