Quantitative multi-image analysis in metals research

Quantitative multi-image analysis in metals research

Quantitative multi-image analysis (QMA) is the systematic extraction of new information and insight through the simultaneous analysis of multiple, related images. We present examples illustrating the potential for QMA to advance materials research in multi-image characterization, automatic feature i...

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Bibliographic Details
Main Authors: Demkowicz, M. J., Liu, M., McCue, I. D., Seita, Matteo, Stuckner, J., Xie, K.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Engineering::Materials
Metal Research
Multi-Images
Online Access:https://hdl.handle.net/10356/165033
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Institution: Nanyang Technological University
Language: English
Description
Summary:Quantitative multi-image analysis (QMA) is the systematic extraction of new information and insight through the simultaneous analysis of multiple, related images. We present examples illustrating the potential for QMA to advance materials research in multi-image characterization, automatic feature identification, and discovery of novel processing-structure-property relationships. We conclude by discussing opportunities and challenges for continued advancement of QMA, including instrumentation development, uncertainty quantification, and automatic parsing of literature data.

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