Unsupervised machine learning for automated corrosion staging using optical microscopy images
Abstract Corrosion poses a substantial economic burden, and machine learning is increasingly being explored for its potential in staging, predictive maintenance, and data-driven decision making. This study presents an unsupervised automated corrosion staging method based on image processing and mach...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-025-00635-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|