Segmentation of SEM images of multiphase materials: When Gaussian mixture models are accurate?-Reference-Cited by-同舟云学术

Segmentation of SEM images of multiphase materials: When Gaussian mixture models are accurate?

Published:2022-10-27 Issue:1 Volume:289 Page:58-70
ISSN:0022-2720
Container-title:Journal of Microscopy
language:en
Short-container-title:Journal of Microscopy

Author:

Chatzigeorgiou Manolis¹²^ORCID,Vrigkas Michalis³^ORCID,Beazi‐Katsioti Margarita²,Katsiotis Marios⁴^ORCID,Boukos Nikos¹,Constantoudis Vassilios¹^ORCID

Affiliation:

1. Institute of Nanoscience and Nanotechnology National Center for Scientific Research ‘Demokritos Patr. Gregoriou E & 27 Neapoleos Str Athens, Agia Paraskevi 15341 Greece

2. School of Chemical Engineering National Technical University of Athens Iroon Polytechneiou 9 str Athens, Zografou 157 72 Greece

3. Department of Communication and Digital Media University of Western Macedonia Kastoria, Area Fourka 52100 Greece

4. Group Innovation & Technology, TITAN Cement S.A.TITAN Cement S.A. 22A Halkidos Street Athens, 111 43 Greece

Funder

Stavros Niarchos Foundation

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jmi.13150

Reference26 articles.

1. Quantitative analysis on porosity of reactive powder concrete based on automated analysis of back-scattered-electron images

2. Image-based microstructure classification of mortar and paste using convolutional neural networks and transfer learning

3. Auto-segmentation technique for SEM images using machine learning: Asphaltene deposition case study

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