Comprehensive Analysis of Machine Learning Techniques for Crack Detection
Feb 25, 2025 · Two types of techniques in testing can be distinguished: destructive testing and non-destructive testing. Concrete members can be rated as to their structural capability based on the type, number and size of the cracks present in them.
Machine Learning for Crack Detection: Review and Model …
Jul 13, 2020 · The authors first reviewed 68 ML-based crack detection methods to identify the current trend of development, pixel-level crack segmentation. The authors then conducted a performance evaluation on 8 ML-based crack segmentation models using consistent evaluation metrics and three-dimensional (3D) pavement images with diverse conditions to ...
A review of image-based deep learning methods for crack detection ...
Mar 12, 2025 · This review paper aims to provide a comprehensive overview of the different approaches used for crack detection and segmentation through ML and DL methods. The paper begins by discussing the fundamentals of crack detection …
Our objective is to accurately and eficiently detect and identify cracks and gaps of various sizes in railroad tracks from multiple camera angles using object detection machine learning models.
Machine learning-based pavement crack detection, …
Dec 1, 2023 · To address these issues, this article provides a comprehensive overview of state-of-the-art machine vision and machine learning-based techniques for pavement crack detection,...
A Comprehensive Review of Deep Learning-Based Crack Detection …
Jan 27, 2022 · The main step of performing crack detection using computer vision techniques is to extract crack sensitive features which can be done by leveraging either Image Processing techniques (IPTs) or deep architectures.
Building Crack Detection Using Deep Learning Techniques
A new framework that can inspect cracks objectively and efficiently in concrete ground structures through crack detection and measurement is proposed. The framework detects crack using artificial neural networks that classify crack patches in the input image and segment cracks in the classified patches.
Machine learning model for predicting the crack detection and …
Aug 23, 2021 · In this study, a crack detection technique is proposed which employs pre-processing of images for extracting crack patterns and classifiers for segregating the class of crack patterns.
Deep neural networks for crack detection inside structures
Feb 23, 2024 · We found that a robust backbone network, such as Densely Connected Convolutional Network (DenseNet) can effectively extract the features characterizing cracks of wave signals, and by...
Non-destructive methodology for crack detection using machine learning ...
Apr 1, 2024 · Through this work, design, fabrication, and optimization of a dual-scale resonance-based microwave sensor is discussed for monitoring cracks developed over metallic surfaces.