Anomaly Detection in Annular Metal Turning Surfaces Based on a Priori Information and a Multi-Scale Self-Referencing Template

To solve the problem of anomaly detection in annular metal turning surfaces, this paper develops an anomaly detection algorithm based on a priori information and a multi-scale self-referencing template by combining the imaging characteristics of annular workpieces. First, the annular metal turning s...

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Detalles Bibliográficos
Autores principales: Suo, Xinyu, Zhang, Jie, Liu, Jian, Yang, Dezhi, Zhou, Feitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422637/
https://www.ncbi.nlm.nih.gov/pubmed/37571590
http://dx.doi.org/10.3390/s23156807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422637/
https://www.ncbi.nlm.nih.gov/pubmed/37571590
http://dx.doi.org/10.3390/s23156807

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