Centroid growth selective clustering method for surface defect detection in silicon nitride ceramic bearing rollers

Centroid growth selective clustering method for surface defect detection in silicon nitride ceramic bearing rollers

Abstract Surface defects on silicon nitride ceramic bearing rollers typically exhibit fuzzy edge characteristics and gradient plunge features, which present significant challenges in image segmentation, including contour anomalies, incomplete segmentation, and notch misidentification. To address the...

Full description

Saved in:
Bibliographic Details
Main Authors: ZhaoDong Wang, ZhengYu Xiong, FaLiang Wang, WenZhi Liao, Zeyad Farisi, GangFu Rao, Kun Hu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Si3N4 ceramic bearings
Roller surface defect
K-means clustering segmentation
Nondestructive testing
Online Access:https://doi.org/10.1038/s41598-025-14948-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-14948-3

Similar Items