An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method

An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method

This study introduces a pioneering system for real-time classification and measurement of concrete surface cracks, a crucial aspect of Structural Health Monitoring (SHM). We harness the power of transfer learning (TL) in Convolutional Neural Networks (CNNs), including renowned models such as MobileN...

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Bibliographic Details
Main Authors: Mazleenda Mazni, Mazleenda Mazni, Husain, Abdul Rashid, Shapiai, Mohd. Ibrahim, Ibrahim, Izni Syahrizal, Devi Willieam Anggara, Devi Willieam Anggara, Zulkifli, Riyadh
Format: Article
Language:English
Published: Elsevier B.V. 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/109039/1/AbdulRashidHusain2024_AnInvestigationIntoRealTimeSurfaceCrackClassification.pdf

Internet

http://eprints.utm.my/109039/1/AbdulRashidHusain2024_AnInvestigationIntoRealTimeSurfaceCrackClassification.pdf

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