Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-26T12:15:17.904Z Has data issue: false hasContentIssue false
  • English
  • Français

Semantic SEM Image Segmentation of Concrete with Contextual Labels

Published online by Cambridge University Press:  05 August 2019

Authors: Peter Bajcsy ,
Steve Feldman ,
Mary Brady  and
Kenneth Snyder
Authors: Peter Bajcsy*
Affiliation:
Software and Systems Division, Information Technology Laboratory, NIST, Gaithersburg, MD, USA.
Steve Feldman
Affiliation:
Materials and Structural Systems Division, Engineering Laboratory, NIST, Gaithersburg, MD, USA.
Mary Brady
Affiliation:
Software and Systems Division, Information Technology Laboratory, NIST, Gaithersburg, MD, USA.
Kenneth Snyder
Affiliation:
Materials and Structural Systems Division, Engineering Laboratory, NIST, Gaithersburg, MD, USA.
*
*Corresponding author: peter.bajcsy@nist.gov

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 144 - 145
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Bajcsy, P, Chalfoun, J and Simon, M in “Web Microanalysis of Big Image Data”, (Springer-Verlag International). http://www.springer.com/gp/book/9783319633596.Google Scholar
[2]Rueden, CT, Schindelin, J and Hiner, MC et al. , BMC Bioinformatics 18 (2017), p. 529. PMID 29187165, doi:10.1186/s12859-017-1934-zGoogle Scholar