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  4. Image segmentation and analysis for densification mapping of nanoporous gold after nanoindentation
 
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Image segmentation and analysis for densification mapping of nanoporous gold after nanoindentation

Citation Link: https://doi.org/10.15480/882.3835
Publikationstyp
Journal Article
Date Issued
2021-07-14
Sprache
English
Author(s)
Richert, Claudia  
Wu, Yijuan  
Hablitzel, Murilo P.  
Lilleodden, Erica  
Huber, Norbert  orcid-logo
Institut
Keramische Hochleistungswerkstoffe M-9  
Werkstoffphysik und -technologie M-22  
TORE-DOI
10.15480/882.3835
TORE-URI
http://hdl.handle.net/11420/10554
Journal
MRS advances  
Volume
6
Issue
20
Start Page
519
End Page
523
Citation
MRS Advances 6 (20): 519-523 (2021-07-14)
Publisher DOI
10.1557/s43580-021-00099-w
Scopus ID
2-s2.0-85113917782
Publisher
Springer Nature Switzerland AG
Segmentation of scanning electron microscopy (SEM) images of focused ion beam (FIB) cross-sections through indented regions in nanoporous gold (np-Au) is carried out. A key challenge for image analysis of open porous materials is the appropriate binarization of the pore and gold ligament regions while excluding material lying below the cross-sectional plane. Here, a manual approach to thresholding is compared to global and local approaches. The global thresholding resulted in excessive deviations from the nominal solid fraction, due to a strong gray-scale gradient caused by the tilt angle during imaging and material shadowing. In contrast, the local thresholding approach delivered local solid fractions that were free of global gradients, and delivered a quality comparable to the manual segmentation. The extracted densification profiles vertically below the indenter as well as parallel to the surface showed an exponential-type decay from the indenter tip towards the nominal value of 1 far from the indenter. Graphic abstract: [Figure not available: see fulltext.]
DDC Class
600: Technik
Funding(s)
SFB 986: Teilprojekt B04 - Mikromechanisches Materialverhalten hierarchischer Werkstoffe  
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)  
More Funding Information
Open Access funding enabled and organized by Projekt DEAL.
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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