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Communication Dans Un Congrès Année : 2013

A Tool for Brain Magnetic Resonance Image Segmentation

Résumé

This paper is dedicated to a brain magnetic resonance images regularization method, preserving grey/white matter edges using rotating smoothing filters. After a preprocessing, the originality of this approach resides in the mixing of ideas coming both from pixel classification which determines roughly if a pixel belongs to a ho- mogenous region or an edge and an anisotropic edge detector which computes two precise diffusion directions. These directions are used by an anisotropic diffusion scheme which is accurately controlled near edges and corners. Comparing our results with existing algorithms allows us to validate the robustness of our method.
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Dates et versions

hal-00807999 , version 1 (04-04-2013)

Identifiants

  • HAL Id : hal-00807999 , version 1

Citer

Baptiste Magnier, Philippe Montesinos, Daniel Diep. A Tool for Brain Magnetic Resonance Image Segmentation. 8th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications., Feb 2013, Barcelone, Spain. http://www.visapp.visigrapp.org/?y=2013. ⟨hal-00807999⟩
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