Name: Image Segmentation Applied to the Study of Micrographs of Cellular Solids
Creator: SPARAVIGNA, Amelia Carolina
Keywords: 0301 basic medicine, Cellular Solids, 03 medical and health sciences, Image Processing, Image Processing, Image Segmentation, Cellular Solids, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Image Segmentation

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2017 English Publisher:Alkhaer PublicationsJournal:International Journal of Sciences, volume 3, pages 68-76 (issn: 2410-4477, eissn: 2305-3925,

Authors: SPARAVIGNA, Amelia Carolina;

doi: 10.18483/ijsci.1201 , 10.5281/zenodo.3349377 , 10.5281/zenodo.3349376

handle: 11583/2666258

Image Segmentation Applied to the Study of Micrographs of Cellular Solids

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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.Read Complete Article at ijSciences: V62017021201 AND DOI: http://dx.doi.org/10.18483/ijSci.1201

Related Organizations

Polytechnic University of Turin
Italy

Keywords

Cellular Solids, Image Processing, Image Processing, Image Segmentation, Cellular Solids, Image Segmentation

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