Steel Wire Rope Surface Defect Detection Based on Segmentation Template and Spatiotemporal Gray Sample Set

Machine-vision-based defect detection, instead of manual visual inspection, is becoming increasingly popular. In practice, images of the upper surface of cableway load sealing steel wire ropes are seriously affected by complex environments, including factors such as lubricants, adhering dust, natura...

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Detalles Bibliográficos
Autores principales: Zhang, Guoyong, Tang, Zhaohui, Fan, Ying, Liu, Jinping, Jahanshahi, Hadi, Aly, Ayman A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399644/
https://www.ncbi.nlm.nih.gov/pubmed/34450845
http://dx.doi.org/10.3390/s21165401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399644/
https://www.ncbi.nlm.nih.gov/pubmed/34450845
http://dx.doi.org/10.3390/s21165401

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