Treffer: Local-Global Image Binarization for Reconstructing the Cellular Structure of Polymer Foam Materials.

This paper presents a new hybrid method for the adaptive binarization of cellular structures in the computer aided modeling of polymer foam materials. The proposed method incorporates two established binarization methods, one global approach and one local. The binarization of cellular structures presents particular challenges as images often include distinctive edges that exist at different depths. This issue is addressed along with the common problems of noise and gradients that can be present in images. By incorporating global information with the local information, the current method was able to maintain the details achieved by the local method while reducing the noise as a global method does. Experimental results indicate the efficacy of our approach in comparison with existing methods. The proposed method can be applied in bio-inspired material design, bio-medical materials, and polymer materials science in general. [ABSTRACT FROM AUTHOR]

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