Crack detection using image processing: A critical review and …
Jun 1, 2018 · Literature presents different techniques to automatically identify the crack and its depth using image processing techniques. In this research, a detailed survey is conducted to …
Automated crack detection and crack depth prediction for …
Mar 17, 2023 · An integrated CNN model was developed for crack depth prediction. The model can predict the depth of the cracks from the images. The depth of the crack can be used to …
In this study, a system for detecting the presence or absence of cracks and calculating their lengths was developed using image processing technology. The accuracy of the system was …
(PDF) Crack detection using image processing: A critical review …
Feb 1, 2017 · Literature presents different techniques to automatically identify the crack and its depth using image processing techniques. In this research, a detailed survey is conducted to …
A review of image-based deep learning methods for crack detection
Mar 12, 2025 · Crack detection means the detection of cracks in images obtained by data acquisition and this detection is done by a fully computerized method so that no human …
Pavement crack identification method based on IOtsu-Dd algorithm
4 days ago · Traditional image processing algorithms, such as edge detection, are prone to noise interference when processing small features, leading to a decrease in recognition accuracy. ...
Non Destructive Analysis of Crack Using Image Processing, …
Mar 25, 2023 · Crack irregularity measurements are challenging and need more expertise. Thus, develop automatic crack detection using the image processing method. This article reveals the …
Literature presents different techniques to automatically identify the crack and its depth using image processing techniques. In this research, a detailed sur-vey is conducted to identify...
Road crack detection based on improved RT-DETR | Signal, Image …
5 days ago · The pseudocode is provided in Algorithms 1 and 2. The PKI module is responsible for extracting local and multiscale features using depthwise convolutions and kernels of …
Three-Dimensional Crack Quantification Using Fused LiDAR Data …
Apr 25, 2025 · AbstractCracking is a common issue in concrete structures, yet current assessment methods are not able to adequately quantify cracks in 3D spatial dimensions. This …