Automated Pixel-Level Deep Crack Segmentation on Historical Surfaces Using U-Net Models

Automated Pixel-Level Deep Crack Segmentation on Historical Surfaces Using U-Net Models

Crack detection on historical surfaces is of significant importance for credible and reliable inspection in heritage structural health monitoring. Thus, several object detection deep learning models are utilized for crack detection. However, the majority of these models are powerful at most in achie...

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Bibliographic Details
Main Authors: Esraa Elhariri, Nashwa El-Bendary, Shereen A. Taie
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Algorithms
Subjects:
deep feature learning
crack detection
pixel-level segmentation
historical surfaces
U-Net
data augmentation
Online Access:https://www.mdpi.com/1999-4893/15/8/281

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https://www.mdpi.com/1999-4893/15/8/281

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