A dataset for surface defect detection on complex structured parts based on photometric stereo
Abstract Automated Optical Inspection (AOI) technology is crucial for industrial defect detection but struggles with shadows and surface reflectivity, resulting in false positives and missed detections, especially on non-planar parts. To address these issues, a novel defect detection technique based...
Saved in:
| Main Authors: | Lin Wu, Yu Ran, Li Yan, Yixing Liu, You Song, Dongran Han |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04454-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On Generating Synthetic Datasets for Photometric Stereo Applications
by: Elisa Crabu, et al.
Published: (2025-04-01) -
Stereo-photometric techniques for scanning micrometer scale
by: Rocio Cachero, et al.
Published: (2015-11-01) -
Inline Wear Detection in High-Speed Progressive Dies Using Photometric Stereo
by: Moske Jonas, et al.
Published: (2025-01-01) -
Underwater Target 3D Reconstruction via Integrated Laser Triangulation and Multispectral Photometric Stereo
by: Yang Yang, et al.
Published: (2025-04-01) -
Photometric Stereo Techniques for the 3D Reconstruction of Paintings and Drawings Through the Measurement of Custom-Built Repro Stands
by: Marco Gaiani, et al.
Published: (2025-04-01)