Image Segmentation Applied to the Study of Micrographs of Cellular Solids

Author(s): Amelia Carolina Sparavigna

The paper is proposing a method of image segmentation applied to the study of the micrographs of cellular solids. The segmentation is based on a thresholding which creates a binary (black and white) image of the micrograph. The binary image is divided in super-pixels which correspond to the microcells of the material. From the areas of the super-pixels it is easy to evaluate the distribution of the size of the cells and correlate this distribution to the properties of the material.

Image Processing, Image Segmentation, Cellular Solids

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