Paper
21 May 2004 Global computational algebraic topology approach for diffusion
Author Affiliations +
Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.525975
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
One physical process involved in many computer vision problems is the heat diffusion process. Such Partial differential equations are continuous and have to be discretized by some techniques, mostly mathematical processes like finite differences or finite elements. The continuous domain is subdivided into sub-domains in which there is only one value. The diffusion equation comes from the energy conservation then it is valid on a whole domain. We use the global equation instead of discretize the PDE obtained by a limit process on this global equation. To encode these physical global values over pixels of different dimensions, we use a computational algebraic topology (CAT)-based image model. This model has been proposed by Ziou and Allili and used for the deformation of curves and optical flow. It introduces the image support as a decomposition in terms of points, edges, surfaces, volumes, etc. Images of any dimensions can then be handled. After decomposing the physical principles of the heat transfer into basic laws, we recall the CAT-based image model and use it to encode the basic laws. We then present experimental results for nonlinear graylevel diffusion for denoising, ensuring thin features preservation.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marie-Flavie Auclair-Fortier, Djemel Ziou, and Madjid Allili "Global computational algebraic topology approach for diffusion", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.525975
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Cited by 2 scholarly publications.
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KEYWORDS
Diffusion

Computed tomography

Image processing

Computer vision technology

Machine vision

Optical flow

Denoising

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