Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model

Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model

Abstract Crack segmentation is essential for preventive maintenance in various civil and industrial applications. It makes it possible to identify and divide structural cracks or defects. Complicated sceneries, such as cracks with an irregular form, complicated image environments, and constraints in...

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Bibliographic Details
Main Authors: Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Journal of Big Data
Subjects:
Surface crack segmentation
YOLOv8
MHSA
Triplet attention
Deep learning
Gamma radiography
Online Access:https://doi.org/10.1186/s40537-025-01065-1
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