Jun 22, 2024 · In this research, a novel fuzzy C-means clustering algorithm is proposed that will detect fractures automatically by adding optimal edge pixels utilizing a second-order difference …

The workflow includes collecting road surface images, preprocessing through resizing, normalization, and data augmentation, and training a CNN-based model for crack detection. …

Jun 7, 2020 · The crack detection processing involves an image of a cylinder head taken and enhanced to 256 by 256 image size. The image is then transformed into a black and white …

Abstract Road crack detection is crucial for ensuring pavement safety and optimizing maintenance strategies. This study investigated the impact of image preprocessing methods and dataset …

This paper introduces CrackNet, an advanced crack detection model built upon the YOLOv9 architecture, which integrates a fusion attention module and task space disentanglement to …

Apr 18, 2019 · In this paper, we propose a novel road crack detection algorithm based on deep learning and adaptive image segmentation. Firstly, a deep convolutional neural network is …

May 7, 2025 · “Enhanced automatic detection of road surface cracks by combining 2D/3D image processing techniques.” In Proc., 2014 IEEE Int. Conf. on Image Processing (ICIP), 778–782.

In this study, we propose an integrated model includes a heuristic image segmentation technique for crack detection. Furthermore, the accuracy of various classification models such as KNN, …

Oct 3, 2024 · Aiming at the problem that the current pavement crack detection methods have less research on the repair trajectory planning for subsequent cracks, a raod crack detection and …

Aug 19, 2016 · Automatic detection of pavement cracks is an important task in transportation maintenance for driving safety assurance. However, it remains a challenging task d