Concrete roadway crack segmentation using encoder-decoder networks with range images
Sign Up to like & getrecommendations! Published in 2020 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103403
Abstract: Abstract Recently, researchers have utilized DCNN for pixel-wise crack classification through semantic segmentation. Nevertheless, some issues in current DCNN-based roadway crack segmentation are yet to be fully addressed. For example, image pre-processing techniques are often… read more here.
Keywords: crack segmentation; methodology; encoder decoder; roadway crack ... See more keywords
Highway Crack Segmentation From Unmanned Aerial Vehicle Images Using Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3129607
Abstract: Highway crack segmentation is a critical task for highway infrastructure monitoring and maintenance. While imagery from unmanned aerial vehicles (UAVs) is applied to the task of highway crack segmentation, it has great prospects in terms… read more here.
Keywords: road; crack; segmentation; highway crack ... See more keywords
Comparison and Analysis of Several Clustering Algorithms for Pavement Crack Segmentation Guided by Computational Intelligence
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8965842
Abstract: Cracks are one of the most common types of imperfections that can be found in concrete pavement, and they have a significant influence on the structural strength. The purpose of this study is to investigate… read more here.
Keywords: crack; pavement crack; clustering algorithms; comparison ... See more keywords
CT image crack segmentation method based on linear feature enhancement.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of X-ray science and technology"
DOI: 10.3233/xst-221171
Abstract: Industrial computed tomography (CT) crack segmentation is a key technology in industrial CT image processing. Unfortunately, the interference of artifact and noise in CT image often bring great trouble to the crack segmentation. In order… read more here.
Keywords: linear feature; based linear; segmentation; crack segmentation ... See more keywords
Automated Pixel-Level Deep Crack Segmentation on Historical Surfaces Using U-Net Models
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15080281
Abstract: Crack detection on historical surfaces is of significant importance for credible and reliable inspection in heritage structural health monitoring. Thus, several object detection deep learning models are utilized for crack detection. However, the majority of… read more here.
Keywords: pixel level; crack; crack segmentation; historical surfaces ... See more keywords