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 Segmentation Applied to the Study of Micrographs of Cellular Solids / Sparavigna, Amelia Carolina. - In: INTERNATIONAL JOURNAL OF SCIENCES. - ISSN 2305-3925. - STAMPA. - 6:02(2017), pp. 68-76. [10.18483/ijSci.1201]
Image Segmentation Applied to the Study of Micrographs of Cellular Solids
SPARAVIGNA, Amelia Carolina
2017
Abstract
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.File | Dimensione | Formato | |
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V62017021201-Image-Segmentation.pdf
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Descrizione: Articolo Image Segmentation
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https://hdl.handle.net/11583/2666258
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