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, Abdul Rashid Husain, Mohd Ibrahim Shapiai, Izni Syahrizal Ibrahim, Devi Willieam Anggara, Riyadh Zulkifli
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Alexandria Engineering Journal
Subjects:
Crack classification
Crack segmentation
Structural Health Monitoring
Transfer Learning
Otsu Method
Convolution neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824001923

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