Concrete Bridge Crack Image Classification Using Histograms of Oriented Gradients, Uniform Local Binary Patterns, and Kernel Principal Component Analysis

Concrete Bridge Crack Image Classification Using Histograms of Oriented Gradients, Uniform Local Binary Patterns, and Kernel Principal Component Analysis

Bridges deteriorate over time, which requires the continuous monitoring of their condition. There are many digital technologies for inspecting and monitoring bridges in real-time. In this context, computer vision has extensively studied cracks to automate their identification in concrete surfaces, o...

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Bibliographic Details
Main Authors: Hajar Zoubir, Mustapha Rguig, Mohamed El Aroussi, Abdellah Chehri, Rachid Saadane
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
concrete bridge cracks
feature extraction
dimensionality reduction
histograms of oriented gradients
uniform local binary patterns
kernel principal component analysis
Online Access:https://www.mdpi.com/2079-9292/11/20/3357

Internet

https://www.mdpi.com/2079-9292/11/20/3357

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